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rule for disparate-treatment claims based on a failure to accommodate a religious practice is straightforward," Scalia wrote. "An employer may not make an applicant's religious practice, confirmed or otherwise, a factor in employment decisions."

The ruling continued the high court's practice of providing legal protection for religious beliefs and customs. In recent years, it has allowed employers with religious objections to avoid covering some forms of birth control, upheld the practice of opening local government meetings with a prayer and allowed a Muslim inmate to keep his beard in prison.

In his dissent, however, Thomas defended the company, claiming that its "neutral look policy" did not constitute intentional discrimination.

The court's decision — hailed by virtually all religious groups, from Baptists to Jews to Sikhs — could have implications for religious minorities' job opportunities as well as companies' hiring practices.

Muslim women who cover their heads encounter some of the biggest problems. After the Sept. 11, 2001, terrorist attacks, the Equal Employment Opportunity Commission — which sued Abercrombie on Elauf's behalf — saw a 250% increase in religion-based discrimination charges involving Muslims. In 2012, more than 20% of its 3,800 religious discrimination claims were filed by Muslims

American Muslim community is facing increased levels of Islamophobia

Businesses, on the other hand, claim that requiring them to cater to all religious minorities' observances is an undue hardship.

"Shifting this burden to employers sets an unclear and confusing standard, making business owners extremely vulnerable to inevitable discrimination lawsuits,"

"Whether employers ask an applicant about religious needs or not, there is a good chance they will be sued."

1964 Civil Rights Act prohibits employment discrimination based on race, color, religion, sex or national origin.

Must the job applicant request a religious accommodation, or should the employer recognize the need for it? During her job interview, Elauf never brought up her religion, and her interviewer never asked.

The federal government maintained that Abercrombie discriminated "when it intentionally refused to hire Samantha Elauf because of her hijab, after inferring correctly that Elauf wore the hijab for religious reasons."

The depressing conclusion of a faculty report: “failing math at all levels affects retention more than any other academic factor.” A national sample of transcripts found mathematics had twice as many F’s and D’s compared as other subjects.

Of all who embark on higher education, only 58 percent end up with bachelor’s degrees. The main impediment to graduation: freshman math.

California’s two university systems, for instance, consider applications only from students who have taken three years of mathematics and in that way exclude many applicants who might excel in fields like art or history. Community college students face an equally prohibitive mathematics wall. A study of two-year schools found that fewer than a quarter of their entrants passed the algebra classes they were required to take.

Nor will just passing grades suffice. Many colleges seek to raise their status by setting a high mathematics bar. Hence, they look for 700 on the math section of the SAT, a height attained in 2009 by only 9 percent of men and 4 percent of women. And it’s not just Ivy League colleges that do this: at schools like Vanderbilt, Rice and Washington University in St. Louis, applicants had best be legacies or athletes if they have scored less than 700 on their math SATs.

“mathematical reasoning in workplaces differs markedly from the algorithms taught in school.” Even in jobs that rely on so-called STEM credentials — science, technology, engineering, math — considerable training occurs after hiring, including the kinds of computations that will be required.

I fully concur that high-tech knowledge is needed to sustain an advanced industrial economy. But we’re deluding ourselves if we believe the solution is largely academic.

a definitive analysis by the Georgetown Center on Education and the Workforce forecasts that in the decade ahead a mere 5 percent of entry-level workers will need to be proficient in algebra or above.

A January 2012 analysis from the Georgetown center found 7.5 percent unemployment for engineering graduates and 8.2 percent among computer scientists.

“Our civilization would collapse without mathematics.” He’s absolutely right.

Quantitative literacy clearly is useful in weighing all manner of public policies

Mathematics is used as a hoop, a badge, a totem to impress outsiders and elevate a profession’s status.

Instead of investing so much of our academic energy in a subject that blocks further attainment for much of our population, I propose that we start thinking about alternatives. Thus mathematics teachers at every level could create exciting courses in what I call “citizen statistics.” This would not be a backdoor version of algebra, as in the Advanced Placement syllabus. Nor would it focus on equations used by scholars when they write for one another. Instead, it would familiarize students with the kinds of numbers that describe and delineate our personal and public lives.

This need not involve dumbing down. Researching the reliability of numbers can be as demanding as geometry.

I hope that mathematics departments can also create courses in the history and philosophy of their discipline, as well as its applications in early cultures. Why not mathematics in art and music — even poetry — along with its role in assorted sciences? The aim would be to treat mathematics as a liberal art, making it as accessible and welcoming as sculpture or ballet

Yes, young people should learn to read and write and do long division, whether they want to or not. But there is no reason to force them to grasp vectorial angles and discontinuous functions. Think of math as a huge boulder we make everyone pull, without assessing what all this pain achieves. So why require it, without alternatives or exceptions? Thus far I haven’t found a compelling answer.

Mr. Trachtenberg understood the centrality of the university as a physical place. New structures were a visceral sign of progress. They told visitors, donors and civic leaders that the institution was, like beams and scaffolding rising from the earth, ascending. He added new programs, recruited more students, and followed the dictate of constant expansion.

the American research university had evolved into a complicated and somewhat peculiar organization. It was built to be all things to all people: to teach undergraduates, produce knowledge, socialize young men and women, train workers for jobs, anchor local economies, even put on weekend sports events. And excellence was defined by similarity to old, elite institutions. Universities were judged by the quality of their scholars, the size of their endowments, the beauty of their buildings and the test scores of their incoming students.

John Silber embarked on a huge building campaign while bringing luminaries like Saul Bellow and Elie Wiesel on board to teach and lend their prestige to the B.U. name, creating a bigger, more famous and much more costly institution. He had helped write a game plan for the aspiring college president.

GWU is, for all intents and purposes, a for-profit organization. Best example: study abroad. Their top program, a partnering with Sciences Po, costs each student (30 of them, on a program with 'prestige' status?) a full semester's tuition. It costs GW, according to Sciences Po website, €1000. A neat $20,000 profit per student (who is in digging her/himself deeper and deeper in debt.) Moreover, the school takes a $500 admin fee for the study abroad application! With no guarantee that all credits transfer. Students often lose a partial semester, GW profits again. Nor does GW offer help with an antiquated, one-shot/no transfers, tricky registration process. It's tough luck in gay Paris.Just one of many examples. Dorms with extreme mold, off-campus housing impossible for freshmen and sophomores. Required meal plan: Chick-o-Filet etc. Classes with over 300 students (required).This is not Harvard, but costs same.Emotional problems? Counselors too few. Suicides continue and are not appropriately addressed. Caring environment? Extension so and so, please hold.It's an impressive campus, I'm an alum. If you apply, make sure the DC experience is worth the price: good are internships, a few colleges like Elliot School, post-grad.GWU uses undergrad $$ directly for building projects, like the medical center to which students have NO access. (Student health facility is underfunded, outsourced.)Outstanding professors still make a difference. But is that enough?

Mr. Trachtenberg, however, understood something crucial about the modern university. It had come to inhabit a market for luxury goods. People don’t buy Gucci bags merely for their beauty and functionality. They buy them because other people will know they can afford the price of purchase. The great virtue of a luxury good, from the manufacturer’s standpoint, isn’t just that people will pay extra money for the feeling associated with a name brand. It’s that the high price is, in and of itself, a crucial part of what people are buying.

Mr. Trachtenberg convinced people that George Washington was worth a lot more money by charging a lot more money. Unlike most college presidents, he was surprisingly candid about his strategy. College is like vodka, he liked to explain.

The Absolut Rolex plan worked. The number of applicants surged from some 6,000 to 20,000, the average SAT score of students rose by nearly 200 points, and the endowment jumped from $200 million to almost $1 billion.

The university became a magnet for the children of new money who didn’t quite have the SATs or family connections required for admission to Stanford or Yale. It also aggressively recruited international students, rich families from Asia and the Middle East who believed, as nearly everyone did, that American universities were the best in the world.

U.S. News & World Report now ranks the university at No. 54 nationwide, just outside the “first tier.”

The watch and vodka analogies are correct. Personally, I used car analogies when discussing college choices with my kids. We were in the fortunate position of being able to comfortably send our kids to any college in the country and have them leave debt free. Notwithstanding, I told them that they would be going to a state school unless they were able to get into one of about 40 schools that I felt, in whatever arbitrary manner I decided, that was worth the extra cost. They both ended up going to state schools.College is by and large a commodity and you get out of it what you put into it. Both of my kids worked hard in college and were involved in school life. They both left the schools better people and the schools better schools for them being there. They are both now successful adults.I believe too many people look for the prestige of a named school and that is not what college should be primarily about.

In 2013, only 14 percent of the university’s 10,000 undergraduates received a grant — a figure on a par with elite schools but far below the national average. The average undergraduate borrower leaves with about $30,800 in debt.

When I talk to the best high school students in my state I always stress the benefits of the honors college experience at an affordable public university. For students who won't qualify for a public honors college. the regular pubic university experience is far preferable to the huge debt of places like GW.

Carey would do well to look beyond high ticket private universities (which after all are still private enterprises) and what he describes as the Olympian heights of higher education (which for some reason seems also to embitter him) and look at the system overall . The withdrawal of public support was never a policy choice; it was a political choice, "packaged and branded" as some tax cutting palaver all wrapped up in the argument that a free-market should decide how much college should cost and how many seats we need. In such an environment, trustees at private universities are no more solely responsible for turning their degrees into commodities than the administrations of state universities are for raising the number of out-of-state students in order to offset the loss of support from their legislatures. No doubt, we will hear more about market based solutions and technology from Mr. Carey

I went to GW back in the 60s. It was affordable and it got me away from home in New York. While I was there, Newsweek famously published a article about the DC Universities - GW, Georgetown, American and Catholic - dubbing them the Pony league, the schools for the children of wealthy middle class New Yorkers who couldn't get into the Ivy League. Nobody really complained. But that wasn't me. I went because I wanted to be where the action was in the 60s, and as we used to say - "GW was literally a stone's throw from the White House. And we could prove it." Back then, the two biggest alumni names were Jackie Kennedy, who's taken some classes there, and J. Edgar Hoover. Now, according to the glossy magazine they send me each month, it's the actress Kerry Washington. There's some sort of progress there, but I'm a GW alum and not properly trained to understand it.

This explains a lot of the modern, emerging mentality. It encompasses the culture of enforced grade inflation, cheating and anti-intellectualism in much of higher education. It is consistent with our culture of misleading statistics and information, cronyism and fake quality, the "best and the brightest" being only schemers and glad handers. The wisdom and creativity engendered by an honest, rigorous academic education are replaced by the disingenuous quick fix, the winner-take-all mentality that neglects the common good.

I attended nearby Georgetown University and graduated in 1985. Relative to state schools and elite schools, it was expensive then. I took out loans. I had Pell grants. I had work-study and GSL. I paid my debt of $15,000 off in ten years. Would I have done it differently? Yes: I would have continued on to graduate school and not worried about paying off those big loans right after college. My career work out and I am grateful for the education I received and paid for. But I would not recommend to my nieces and nephews debts north of $100,000 for a BA in liberal arts. Go community. Then go state. Then punch your ticket to Harvard, Yale or Stanford — if you are good enough.

American universities appear to have more and more drifted away from educating individuals and citizens to becoming high priced trade schools and purveyors of occupational licenses. Lost in the process is the concept of expanding a student's ability to appreciate broadly and deeply, as well as the belief that a republican democracy needs an educated citizenry, not a trained citizenry, to function well.Both the Heisman Trophy winner and the producer of a successful tech I.P.O. likely have much in common, a college education whose rewards are limited to the financial. I don't know if I find this more sad on the individual level or more worrisome for the future of America.

This is now a consumer world for everything, including institutions once thought to float above the Shakespearean briars of the work-a-day world such as higher education, law and medicine. Students get this. Parents get this. Everything is negotiable: financial aid, a spot in the nicest dorm, tix to the big game. But through all this, there are faculty - lots of 'em - who work away from the fluff to link the ambitions of the students with the reality and rigor of the 21st century. The job of the student is to get beyond the visible hype of the surroundings and find those faculty members. They will make sure your investment is worth it

My experience in managing or working with GW alumni in their 20's or 30's has not been good. Virtually all have been mentally lazy and/or had a stunning sense of entitlement. Basically they've been all talk and no results. That's been quite a contrast to the graduates from VA/MD state universities.

More and more, I notice what my debt-financed contributions to the revenue streams of my vendors earn them, not me. My banks earned enough to pay ridiculous bonuses to employees for reckless risk-taking. My satellite tv operator earned enough to overpay ESPN for sports programming that I never watch--and that, in turn, overpays these idiotic pro athletes and college sports administrators. My health insurer earned enough to defeat one-payor insurance; to enable the opaque, inefficient billing practices of hospitals and other providers; and to feed the behemoth pharmaceutical industry. My church earned enough to buy the silence of sex abuse victims and oppose progressive political candidates. And my govt earned enough to continue ag subsidies, inefficient defense spending, and obsolete transportation and energy policies.

as the parent of GWU freshman I am grateful for every opportunity afforded her. She has a generous merit scholarship, is in the honors program with some small classes, and has access to internships that can be done while at school. GWU also gave her AP credits to advance her to sophomore status. Had she attended the state flagship school (where she was accepted into that exclusive honors program) she would have a great education but little else. It's not possible to do foreign affairs related internship far from D.C. or Manhattan. She went to a very competitive high school where for the one or two ivy league schools in which she was interested, she didn't have the same level of connections or wealth as many of her peers. Whether because of the Common Application or other factors, getting into a good school with financial help is difficult for a middle class student like my daughter who had a 4.0 GPA and 2300 on the SAT. She also worked after school.The bottom line - GWU offered more money than perceived "higher tier" universities, and brought tuition to almost that of our state school system. And by the way, I think she is also getting a very good education.

This article reinforces something I have learned during my daughter's college application process. Most students choose a school based on emotion (reputation) and not value. This luxury good analogy holds up.

The entire education problem can be solved by MOOCs lots and lots of them plus a few closely monitored tests and personal interviews with people. Of course many many people make MONEY off of our entirely inefficient way of "educating" -- are we even really doing that -- getting a degree does NOT mean one is actually educated

As a first-generation college graduate I entered GW ambitious but left saddled with debt, and crestfallen at the hard-hitting realization that my four undergraduate years were an aberration from what life is actually like post-college: not as simple as getting an [unpaid] internship with a fancy titled institution, as most Colonials do. I knew how to get in to college, but what do you do after the recess of life ends?I learned more about networking, resume plumping (designated responses to constituents...errr....replied to emails), and elevator pitches than actual theory, economic principles, strong writing skills, critical thinking, analysis, and philosophy. While relatively easy to get a job after graduating (for many with a GW degree this is sadly not the case) sustaining one and excelling in it is much harder. It's never enough just to be able to open a new door, you also need to be prepared to navigate your way through that next opportunity.

this is a very telling article. Aimless and directionless high school graduates are matched only by aimless and directionless institutes of higher learning. Each child and each parent should start with a goal - before handing over their hard earned tuition dollars, and/or leaving a trail of broken debt in the aftermath of a substandard, unfocused education.

it is no longer the most expensive university in America. It is the 46th.Others have been implementing the Absolut Rolex Plan. John Sexton turned New York University into a global higher-education player by selling the dream of downtown living to students raised on “Sex and the City.” Northeastern followed Boston University up the ladder. Under Steven B. Sample, the University of Southern California became a U.S. News top-25 university. Washington University in St. Louis did the same.

I currently attend GW, and I have to say, this article completely misrepresents the situation. I have yet to meet a single person who is paying the full $60k tuition - I myself am paying $30k, because the school gave me $30k in grants. As for the quality of education, Foreign Policy rated GW the #8 best school in the world for undergraduate education in international affairs, Princeton Review ranks it as one of the best schools for political science, and U.S. News ranks the law school #20. The author also ignores the role that an expanding research profile plays in growing a university's prestige and educational power.

And in hundreds of regional universities and community colleges, presidents and deans and department chairmen have watched this spectacle of ascension and said to themselves, “That could be me.” Agricultural schools and technical institutes are lobbying state legislatures for tuition increases and Ph.D. programs, fitness centers and arenas for sport. Presidents and boards are drawing up plans to raise tuition, recruit “better” students and add academic programs. They all want to go in one direction — up! — and they are all moving with a single vision of what they want to be.

this is the same playbook used by hospitals the past 30 years or so. It is how Hackensack Hospital became Hackensack Medical Center and McComb Hospital became Southwest Mississippi Regional Medical Center. No wonder the results have been the same in healthcare and higher education; both have priced themselves out of reach for average Americans.

a world where a college is rated not by the quality of its output, but instaed, by the quality of its inputs. A world where there is practically no work to be done by the administration because the college's reputation is made before the first class even begins! This is isanity! But this is the swill that the mammoth college marketing departments nationwide have shoved down America's throat. Colleges are ranked not by the quality of their graduates, but rather, by the test scores of their incoming students!

The Pew Foundation has been doing surveys on what students learn, how much homework they do, how much time they spend with professors etc. All good stuff to know before a student chooses a school. It is called the National Survey of Student Engagement (NSSE - called Nessy). It turns out that the higher ranked schools do NOT allow their information to be released to the public. It is SECRET.Why do you think that is?

The article blames "the standard university organizational model left teaching responsibilities to autonomous academic departments and individual faculty members, each of which taught and tested in its own way." This is the view of someone who has never taught at a university, nor thought much about how education there actually happens. Once undergraduates get beyond the general requirements, their educations _have_ to depend on "autonomous departments" because it's only those departments know what the requirements for given degree can be, and can grant the necessary accreditation of a given student. The idea that some administrator could know what's necessary for degrees in everything from engineering to fiction writing is nonsense, except that's what the people who only know the theory of education (but not its practice) actually seem to think. In the classroom itself, you have tremendously talented people, who nevertheless have their own particular strengths and approaches. Don't you think it's a good idea to let them do what they do best rather than trying to make everyone teach the same way? Don't you think supervision of young teachers by older colleagues, who actually know their field and its pedagogy, rather than some administrator, who knows nothing of the subject, is a good idea?

it makes me very sad to see how expensive some public schools have become. Used to be you could work your way through a public school without loans, but not any more. Like you, I had the advantage of a largely-scholarship paid undergraduate education at a top private college. However, I was also offered a virtually free spot in my state university's (then new) honors college

My daughter attended a good community college for a couple of classes during her senior year of high school and I could immediately see how such places are laboratories for failure. They seem like high schools in atmosphere and appearance. Students rush in by car and rush out again when the class is over.The four year residency college creates a completely different feel. On arrival, you get the sense that you are engaging in something important, something apart and one that will require your full attention. I don't say this is for everyone or that the model is not flawed in some ways (students actually only spend 2 1/2 yrs. on campus to get the four yr. degree). College is supposed to be a 60 hour per week job. Anything less than that and the student is seeking himself or herself

This. Is. STUNNING. I have always wondered, especially as my kids have approached college age, why American colleges have felt justified in raising tuition at a rate that has well exceeded inflation, year after year after year. (Nobody needs a dorm with luxury suites and a lazy river pool at college!) And as it turns out, they did it to become luxury brands. Just that simple. Incredible.I don't even blame this guy at GWU for doing what he did. He wasn't made responsible for all of American higher ed. But I do think we all need to realize what happened, and why. This is front page stuff.

I agree with you, but, unfortunately, given the choice between low tuition, primitive dorms, and no athletic center VS expensive & luxurious, the customers (and their parents) are choosing the latter. As long as this is the case, there is little incentive to provide bare-bones and cheap education.

Wesleyan University in CT is one school that is moving down the rankings. Syracuse University is another. Reed College is a third. Why? Because these schools try hard to stay out of the marketing game. (With its new president, Syracuse has jumped back into the game.) Bryn Mawr College, outside Philadelphia hasn't fared well over the past few decades in the rankings, which is true of practically every women's college. Wellesley is by far the highest ranked women's college, but even there the acceptance rate is significantly higher than one finds at comparable coed liberal arts colleges like Amherst & Williams. University of Chicago is another fascinating case for Mr. Carey to study (I'm sure he does in his forthcoming book, which I look forward to reading). Although it has always enjoyed an illustrious academic reputation, until recently Chicago's undergraduate reputation paled in comparison to peer institutions on the two coasts. A few years ago, Chicago changed its game plan to more closely resemble Harvard and Stanford in undergraduate amenities, and lo and behold, its rankings shot up. It was a very cynical move on the president's part to reassemble the football team, but it was a shrewd move because athletics draw more money than academics ever can (except at engineering schools like Cal Tech & MIT), and more money draws richer students from fancier secondary schools with higher test scores, which lead to higher rankings - and the beat goes on.

College INDUSTRY is out of control. Sorry, NYU, GW, BU are not worth the price. Are state schools any better? We have the University of Michigan, which is really not a state school, but a university that gives a discount to people who live in Michigan. Why? When you have an undergraduate body 40+% out-of-state that pays tuition of over $50K/year, you tell me?Perhaps the solution is two years of community college followed by two at places like U of M or Michigan State - get the same diploma at the end for much less and beat the system.

In one recent yr., the majority of undergrad professors at Harvard, according to Boston.com, where adjuncts. That means low pay, no benefits, no office, temp workers. Harvard.Easily available student loans fueled this arms race of amenities and frills that in which colleges now engage. They moved the cost of education onto the backs of people, kids, who don't understand what they are doing.Students in colleges these days are customers and the customers must be able to get through. If it requires dumbing things down, so be it. On top of tuition, G.W. U. is known by its students as the land of added fees on top of added fees. The joke around campus was that they would soon be installing pay toilets in the student union. No one was laughing.

You could written the same story about my alma mater, American University. The place reeked of ambition and upward mobility decades ago and still does. Whoever's running it now must look at its measly half-billion-dollar endowment and compare it to GWU's $1.5 billion and seethe with envy, while GWU's president sets his sights on an Ivy League-size endowment. And both get back to their real jobs: 24/7 fundraising,Which is what university presidents are all about these days. Money - including million-dollar salaries for themselves (GWU's president made more than Harvard's in 2011) - pride, cachet, power, a mansion, first-class all the way. They should just be honest about it and change their university's motto to Ostende mihi pecuniam! (please excuse my questionable Latin)Whether the students are actually learning anything is up to them, I guess - if they do, it's thanks to the professors, adjuncts and the administrative staff, who do the actual work of educating and keep the school running.

When I was in HS (70s), many of my richer friends went to GW and I was then of the impression that GW was a 'good' school. As I age, I have come to realize that this place is just another façade to the emptiness that has become America. All too often are we faced with a dilemma: damned if we do, damned if we don't. Yep, 'education' has become a trap for all too many of our citizen.

I transferred to GWU from a state school. I am forever grateful that I did. I wanted to get a good rigorous education and go to one of the best International Affairs schools in the world. Even though the state school I went to was dirt-cheap, the education and the faculty was awful. I transferred to GW and was amazed at the professors at that university. An ambassador or a prominent IA scholar taught every class. GW is an expensive school, but that is the free market. If you want a good education you need to be willing to pay for it or join the military. I did the latter and my school was completely free with no debt and I received an amazing education. If young people aren't willing to make some sort of sacrifice to get ahead or just expect everything to be given to then our country is in a sad state.We need to stop blaming universities like GWU that strive to attract better students, better professors, and better infrastructure. They are doing what is expected in America, to better oneself.

"Whether the students are actually learning anything is up to them, I guess." How could it possibly be otherwise??? I am glad that you are willing to give credit to teachers and administrators, but it is not they who "do the actual work of educating." From this fallacy comes its corollary, that we should blame teachers first for "under-performing schools". This long-running show of scapegoating may suit the wallets and vanity of American parents, but it is utterly senseless. When, if ever, American culture stops reeking of arrogance, greed and anti-intellectualism, things may improve, and we may resume the habit of bothering to learn. Until then, nothing doing.

Universities sell knowledge and grade students on how much they have learned. Fundamentally, there is conflict of interest in thsi setup. Moreover, students who are poorly educated, even if they know this, will not criticize their school, because doing so would make it harder for them to have a career. As such, many problems with higher education remain unexposed to the public.

I've lectured and taught in at least five different countries in three continents and the shortest perusal of what goes on abroad would totally undermine most of these speculations. For one thing American universities are unique in their dedication to a broad based liberal arts type education. In France, Italy or Germany, for example, you select a major like mathematics or physics and then in your four years you will not take even one course in another subject. The amount of work that you do that is critically evaluated by an instructor is a tiny fraction of what is done in an American University. While half educated critics based on profoundly incomplete research write criticism like this Universities in Germany Italy, the Netherlands, South Korea and Japan as well as France have appointed committees and made studies to explain why the American system of higher education so drastically outperforms their own system. Elsewhere students do get a rather nice dose of general education but it ends in secondary school and it has the narrowness and formulaic quality that we would just normally associate with that. The character who wrote this article probably never set foot on a "campus" of the University of Paris or Rome

The university is part of a complex economic system and it is responding to the demands of that system. For example, students and parents choose universities that have beautiful campuses and buildings. So universities build beautiful campuses. State support of universities has greatly declined, and this decline in funding is the greatest cause of increased tuition. Therefore universities must compete for dollars and must build to attract students and parents. Also, universities are not ranked based on how they educate students -- that's difficult to measure so it is not measured. Instead universities are ranked on research publications. So while universities certainly put much effort into teaching, research has to have a priority in order for the university to survive. Also universities do not force students and parents to attend high price institutions. Reasonably priced state institutions and community colleges are available to every student. Community colleges have an advantage because they are funded by property taxes. Finally learning requires good teaching, but it also requires students that come to the university funded, prepared, and engaged. This often does not happen. Conclusion- universities have to participate in profile raising actions in order to survive. The day that funding is provided for college, ranking is based on education, and students choose campuses with simple buildings, then things will change at the university.

This is the inevitable result of privatizing higher education. In the not-so-distant past, we paid for great state universities through our taxes, not tuition. Then, the states shifted funding to prisons and the Federal government radically cut research support and the GI bill. Instead, today we expect universities to support themselves through tuition, and to the extent that we offered students support, it is through non-dischargeable loans. To make matters worse, the interest rates on those loans are far above the government's cost of funds -- so in effect the loans are an excise tax on education (most of which is used to support a handful of for-profit institutions that account for the most student defaults). This "consumer sovereignty" privatized model of funding education works no better than privatizing California's electrical system did in the era of Enron, or our privatized funding of medical service, or our increasingly privatized prison system: it drives up costs at the same time that it replace quality with marketing.

There are data in some instances on student learning, but the deeper problem, as I suspect the author already knows, is that there is nothing like a consensus on how to measure that learning, or even on when is the proper end point to emphasize (a lot of what I teach -- I know this from what students have told me -- tends to come into sharp focus years after graduation).

Michael (Baltimore) has hit the nail on the head. Universities are increasingly corporatized institutions in the credentialing business. Knowledge, for those few who care about it (often not those paying for the credentials) is available freely because there's no profit in it. Like many corporate entities, it is increasingly run by increasingly highly paid administrators, not faculty.

GWU has not defined itself in any unique way, it has merely embraced the bland, but very expensive, accoutrements of American private education: luxury dorms, food courts, spa-like gyms, endless extracurricular activities, etc. But the real culprit for this bloat that students have to bear financially is the college ranking system by US News, Princeton Review, etc. An ultimately meaningless exercise in competition that has nevertheless pushed colleges and universities to be more like one another. A sad state of affairs, and an extremely expensive one for students

It is long past time to realize the failure of the Reagonomics-neoliberal private profits over public good program. In education, we need to return to public institutions publicly funded. Just as we need to recognize that Medicare, Social Security, the post office, public utilities, fire departments, interstate highway system, Veterans Administration hospitals and the GI bill are models to be improved and expanded, not destroyed.

George Washington is actually not a Rolex watch, it is a counterfeit Rolex. The real Rolexes of higher education -- places like Hopkins, Georgetown, Duke, the Ivies etc. -- have real endowments and real financial aid. No middle class kid is required to borrow $100,000 to get a degree from those schools, because they offer generous need-based financial aid in the form of grants, not loans. The tuition at the real Rolexes is really a sticker price that only the wealthy pay -- everybody else on a sliding scale. For middle class kids who are fortunate enough to get in, Penn actually ends up costing considerably less than a state university.The fake Rolexes -- BU, NYU, Drexel in Philadelphia -- don't have the sliding scale. They bury middle class students in debt.And really, though it is foolish to borrow $100,000 or $120,000 for an undergraduate degree, I don't find the transaction morally wrong. What is morally wrong is our federal government making that loan non-dischargeable in bankruptcy, so many if these kids will be having their wages garnished for the REST OF THEIR LIVES.There is a very simple solution to this, by the way. Cap the amount of non-dischargeable student loan debt at, say, $50,000

The slant of this article is critical of the growth of research universities. Couldn't disagree more. Modern research universities create are incredibly engines of economic opportunity not only for the students (who pay the bills) but also for the community via the creation of blue and white collar jobs. Large research university employ tens of thousands of locals from custodial and food service workers right up to high level administrators and specialist in finance, computer services, buildings and facilities management, etc. Johns Hopkins University and the University of Maryland system employ more people than any other industry in Maryland -- including the government. Research universities typically have hospitals providing cutting-edge medical care to the community. Local business (from cafes to property rental companies) benefit from a built-in, long-term client base as well as an educated workforce. And of course they are the foundry of new knowledge which is critical for the future growth of our country.Check out the work of famed economist Dr. Julia Lane on modeling the economic value of the research university. In a nutshell, there are few better investments America can make in herself than research universities. We are the envy of the world in that regard -- and with good reason. How many *industries* (let alone jobs) have Stanford University alone catalyzed?

What universities have the monopoly on is the credential. Anyone can learn, from books, from free lectures on the internet, from this newspaper, etc. But only universities can endow you with the cherished degree. For some reason, people are will to pay more for one of these pieces of paper with a certain name on it -- Ivy League, Stanford, even GW -- than another -- Generic State U -- though there is no evidence one is actually worth more in the marketplace of reality than the other. But, by the laws of economics, these places are actually underpriced: after all, something like 20 times more people are trying to buy a Harvard education than are allowed to purchase one. Usually that means you raise your price.

Overalll a good article, except for - "This comes on the heels of Richard Arum and Josipa Roksa’s “Academically Adrift,” a study that found “limited or no learning” among many college students." The measure of learning you report was a general thinking skills exam. That's not a good measure of college gains. Most psychologists and cognitive scientists worth their salt would tell you that improvement in critical thinking skills is going to be limited to specific areas. In other words, learning critical thinking skills in math will make little change in critical thinking about political science or biology. Thus we should not expect huge improvements in general critical thinking skills, but rather improvements in a student's major and other areas of focus, such as a minor. Although who has time for a minor when it is universally acknowledged that the purpose of a university is to please and profit an employer or, if one is lucky, an investor. Finally, improved critical thinking skills are not the end all and be all of a college education even given this profit centered perspective. Learning and mastering the cumulative knowledge of past generations is arguably the most important thing to be gained, and most universities still tend to excel at that even with the increasing mandate to run education like a business and cultivate and cull the college "consumer".

As for community colleges, there was an article in the Times several years ago that said it much better than I could have said it myself: community colleges are places where dreams are put on hold. Without making the full commitment to study, without leaving the home environment, many, if not most, community college students are caught betwixt and between, trying to balance work responsibilities, caring for a young child or baby and attending classes. For males, the classic "end of the road" in community college is to get a car, a job and a girlfriend, one who is not in college, and that is the end of the dream. Some can make it, but most cannot.

as a scientist I disagree with the claim that undergrad tuition subsidizes basic research. Nearly all lab equipment and research personnel (grad students, technicians, anyone with the title "research scientist" or similar) on campus is paid for through federal grants. Professors often spend all their time outside teaching and administration writing grant proposals, as the limited federal grant funds mean ~%85 of proposals must be rejected. What is more, out of each successful grant the university levies a "tax", called "overhead", of 30-40%, nominally to pay for basic operations (utilities, office space, administrators). So in fact one might say research helps fund the university rather than the other way around. Flag

It's certainly overrated as a research and graduate level university. Whether it is good for getting an undergraduate education is unclear, but a big part of the appeal is getting to live in D.C..while attending college instead of living in some small college town in the corn fields.

When I speak of elite education, I mean prestigious institutions like Harvard or Stanford or Williams as well as the larger universe of second-tier selective schools, but I also mean everything that leads up to and away from them—the private and affluent public high schools; the ever-growing industry of tutors and consultants and test-prep courses; the admissions process itself, squatting like a dragon at the entrance to adulthood; the brand-name graduate schools and employment opportunities that come after the B.A.; and the parents and communities, largely upper-middle class, who push their children into the maw of this machine.

Our system of elite education manufactures young people who are smart and talented and driven, yes, but also anxious, timid, and lost, with little intellectual curiosity and a stunted sense of purpose: trapped in a bubble of privilege, heading meekly in the same direction, great at what they’re doing but with no idea why they’re doing it.

“Super People,” the writer James Atlas has called them—the stereotypical ultra-high-achieving elite college students of today. A double major, a sport, a musical instrument, a couple of foreign languages, service work in distant corners of the globe, a few hobbies thrown in for good measure: They have mastered them all, and with a serene self-assurance

Like so many kids today, I went off to college like a sleepwalker. You chose the most prestigious place that let you in; up ahead were vaguely understood objectives: status, wealth—“success.” What it meant to actually get an education and why you might want one—all this was off the table.

It was only after 24 years in the Ivy League—college and a Ph.D. at Columbia, ten years on the faculty at Yale—that I started to think about what this system does to kids and how they can escape from it, what it does to our society and how we can dismantle it.

I taught many wonderful young people during my years in the Ivy League—bright, thoughtful, creative kids whom it was a pleasure to talk with and learn from. But most of them seemed content to color within the lines that their education had marked out for them. Very few were passionate about ideas. Very few saw college as part of a larger project of intellectual discovery and development. Everyone dressed as if they were ready to be interviewed at a moment’s notice.

Look beneath the façade of seamless well-adjustment, and what you often find are toxic levels of fear, anxiety, and depression, of emptiness and aimlessness and isolation. A large-scale survey of college freshmen recently found that self-reports of emotional well-being have fallen to their lowest level in the study’s 25-year history.

So extreme are the admission standards now that kids who manage to get into elite colleges have, by definition, never experienced anything but success. The prospect of not being successful terrifies them, disorients them. The cost of falling short, even temporarily, becomes not merely practical, but existential. The result is a violent aversion to risk.

There are exceptions, kids who insist, against all odds, on trying to get a real education. But their experience tends to make them feel like freaks. One student told me that a friend of hers had left Yale because she found the school “stifling to the parts of yourself that you’d call a soul.”

What no one seems to ask is what the “return” is supposed to be. Is it just about earning more money? Is the only purpose of an education to enable you to get a job? What, in short, is college for?

The first thing that college is for is to teach you to think.

College is an opportunity to stand outside the world for a few years, between the orthodoxy of your family and the exigencies of career, and contemplate things from a distance.

it is only through the act of establishing communication between the mind and the heart, the mind and experience, that you become an individual, a unique being—a soul. The job of college is to assist you to begin to do that. Books, ideas, works of art and thought, the pressure of the minds around you that are looking for their own answers in their own ways.

College is not the only chance to learn to think, but it is the best. One thing is certain: If you haven’t started by the time you finish your B.A., there’s little likelihood you’ll do it later. That is why an undergraduate experience devoted exclusively to career preparation is four years largely wasted.

Elite schools like to boast that they teach their students how to think, but all they mean is that they train them in the analytic and rhetorical skills that are necessary for success in business and the professions.

Everything is technocratic—the development of expertise—and everything is ultimately justified in technocratic terms.

Religious colleges—even obscure, regional schools that no one has ever heard of on the coasts—often do a much better job in that respect.

At least the classes at elite schools are academically rigorous, demanding on their own terms, no? Not necessarily. In the sciences, usually; in other disciplines, not so much

professors and students have largely entered into what one observer called a “nonaggression pact.”

higher marks for shoddier work.

today’s young people appear to be more socially engaged than kids have been for several decades and that they are more apt to harbor creative or entrepreneurial impulses

they tend to be played out within the same narrow conception of what constitutes a valid life: affluence, credentials, prestige.

Experience itself has been reduced to instrumental function, via the college essay. From learning to commodify your experiences for the application, the next step has been to seek out experiences in order to have them to commodify

there is now a thriving sector devoted to producing essay-ready summers

To be a high-achieving student is to constantly be urged to think of yourself as a future leader of society.

what these institutions mean by leadership is nothing more than getting to the top. Making partner at a major law firm or becoming a chief executive, climbing the greasy pole of whatever hierarchy you decide to attach yourself to. I don’t think it occurs to the people in charge of elite colleges that the concept of leadership ought to have a higher meaning, or, really, any meaning.

The irony is that elite students are told that they can be whatever they want, but most of them end up choosing to be one of a few very similar things

As of 2010, about a third of graduates went into financing or consulting at a number of top schools, including Harvard, Princeton, and Cornell.

Whole fields have disappeared from view: the clergy, the military, electoral politics, even academia itself, for the most part, including basic science

It’s considered glamorous to drop out of a selective college if you want to become the next Mark Zuckerberg, but ludicrous to stay in to become a social worker. “What Wall Street figured out,” as Ezra Klein has put it, “is that colleges are producing a large number of very smart, completely confused graduates. Kids who have ample mental horsepower, an incredible work ethic and no idea what to do next.”

t almost feels ridiculous to have to insist that colleges like Harvard are bastions of privilege, where the rich send their children to learn to walk, talk, and think like the rich. Don’t we already know this? They aren’t called elite colleges for nothing. But apparently we like pretending otherwise. We live in a meritocracy, after all.

Visit any elite campus across our great nation, and you can thrill to the heart-warming spectacle of the children of white businesspeople and professionals studying and playing alongside the children of black, Asian, and Latino businesspeople and professionals

That doesn’t mean there aren’t a few exceptions, but that is all they are. In fact, the group that is most disadvantaged by our current admissions policies are working-class and rural whites, who are hardly present

The college admissions game is not primarily about the lower and middle classes seeking to rise, or even about the upper-middle class attempting to maintain its position. It is about determining the exact hierarchy of status within the upper-middle class itself.

This system is exacerbating inequality, retarding social mobility, perpetuating privilege, and creating an elite that is isolated from the society that it’s supposed to lead. The numbers are undeniable. In 1985, 46 percent of incoming freshmen at the 250 most selective colleges came from the top quarter of the income distribution. By 2000, it was 55 percent

The major reason for the trend is clear. Not increasing tuition, though that is a factor, but the ever-growing cost of manufacturing children who are fit to compete in the college admissions game

Wealthy families start buying their children’s way into elite colleges almost from the moment they are born: music lessons, sports equipment, foreign travel (“enrichment” programs, to use the all-too-perfect term)—most important, of course, private-school tuition or the costs of living in a place with top-tier public schools.

s there anything that I can do, a lot of young people have written to ask me, to avoid becoming an out-of-touch, entitled little shit? I don’t have a satisfying answer, short of telling them to transfer to a public university. You cannot cogitate your way to sympathy with people of different backgrounds, still less to knowledge of them. You need to interact with them directly, and it has to be on an equal footing

Elite private colleges will never allow their students’ economic profile to mirror that of society as a whole. They can’t afford to—they need a critical mass of full payers and they need to tend to their donor base—and it’s not even clear that they’d want to.

Elite colleges are not just powerless to reverse the movement toward a more unequal society; their policies actively promote it.

The SAT is supposed to measure aptitude, but what it actually measures is parental income, which it tracks quite closely

U.S. News and World Report supplies the percentage of freshmen at each college who finished in the highest 10 percent of their high school class. Among the top 20 universities, the number is usually above 90 percent. I’d be wary of attending schools like that. Students determine the level of classroom discussion; they shape your values and expectations, for good and ill. It’s partly because of the students that I’d warn kids away from the Ivies and their ilk. Kids at less prestigious schools are apt to be more interesting, more curious, more open, and far less entitled and competitive.

The best option of all may be the second-tier—not second-rate—colleges, like Reed, Kenyon, Wesleyan, Sewanee, Mount Holyoke, and others. Instead of trying to compete with Harvard and Yale, these schools have retained their allegiance to real educational values.

Not being an entitled little shit is an admirable goal. But in the end, the deeper issue is the situation that makes it so hard to be anything else. The time has come, not simply to reform that system top to bottom, but to plot our exit to another kind of society altogether.

The education system has to act to mitigate the class system, not reproduce it. Affirmative action should be based on class instead of race, a change that many have been advocating for years. Preferences for legacies and athletes ought to be discarded. SAT scores should be weighted to account for socioeconomic factors. Colleges should put an end to résumé-stuffing by imposing a limit on the number of extracurriculars that kids can list on their applications. They ought to place more value on the kind of service jobs that lower-income students often take in high school and that high achievers almost never do. They should refuse to be impressed by any opportunity that was enabled by parental wealth

More broadly, they need to rethink their conception of merit. If schools are going to train a better class of leaders than the ones we have today, they’re going to have to ask themselves what kinds of qualities they need to promote. Selecting students by GPA or the number of extracurriculars more often benefits the faithful drudge than the original mind.

reforming the admissions process. That might address the problem of mediocrity, but it won’t address the greater one of inequality

The problem is the Ivy League itself. We have contracted the training of our leadership class to a set of private institutions. However much they claim to act for the common good, they will always place their interests first.

I’ve come to see that what we really need is to create one where you don’t have to go to the Ivy League, or any private college, to get a first-rate education.

High-quality public education, financed with public money, for the benefit of all

Everybody gets an equal chance to go as far as their hard work and talent will take them—you know, the American dream. Everyone who wants it gets to have the kind of mind-expanding, soul-enriching experience that a liberal arts education provides.

We recognize that free, quality K–12 education is a right of citizenship. We also need to recognize—as we once did and as many countries still do—that the same is true of higher education. We have tried aristocracy. We have tried meritocracy. Now it’s time to try democracy.

By the end of World War II, however, American corporations were facing severe talent shortages. Their senior executives were growing old, and a dearth of hiring from the Depression through the war had resulted in a shortfall of able, well-trained managers. Finding people who had the potential to rise quickly through the ranks became an overriding preoccupation of American businesses. They began to devise a formal hiring-and-management system based in part on new studies of human behavior, and in part on military techniques developed during both world wars, when huge mobilization efforts and mass casualties created the need to get the right people into the right roles as efficiently as possible. By the 1950s, it was not unusual for companies to spend days with young applicants for professional jobs, conducting a battery of tests, all with an eye toward corner-office potential.

But companies abandoned their hard-edged practices for another important reason: many of their methods of evaluation turned out not to be very scientific.

this regime, so widespread in corporate America at mid-century, had almost disappeared by 1990. “I think an HR person from the late 1970s would be stunned to see how casually companies hire now,”

Many factors explain the change, he said, and then he ticked off a number of them: Increased job-switching has made it less important and less economical for companies to test so thoroughly. A heightened focus on short-term financial results has led to deep cuts in corporate functions that bear fruit only in the long term. The Civil Rights Act of 1964, which exposed companies to legal liability for discriminatory hiring practices, has made HR departments wary of any broadly applied and clearly scored test that might later be shown to be systematically biased.

about a quarter of the country’s corporations were using similar tests to evaluate managers and junior executives, usually to assess whether they were ready for bigger roles.

He has encouraged the company’s HR executives to think about applying the games to the recruitment and evaluation of all professional workers.

Knack makes app-based video games, among them Dungeon Scrawl, a quest game requiring the player to navigate a maze and solve puzzles, and Wasabi Waiter, which involves delivering the right sushi to the right customer at an increasingly crowded happy hour. These games aren’t just for play: they’ve been designed by a team of neuroscientists, psychologists, and data scientists to suss out human potential. Play one of them for just 20 minutes, says Guy Halfteck, Knack’s founder, and you’ll generate several megabytes of data, exponentially more than what’s collected by the SAT or a personality test. How long you hesitate before taking every action, the sequence of actions you take, how you solve problems—all of these factors and many more are logged as you play, and then are used to analyze your creativity, your persistence, your capacity to learn quickly from mistakes, your ability to prioritize, and even your social intelligence and personality. The end result, Halfteck says, is a high-resolution portrait of your psyche and intellect, and an assessment of your potential as a leader or an innovator.

When the results came back, Haringa recalled, his heart began to beat a little faster. Without ever seeing the ideas, without meeting or interviewing the people who’d proposed them, without knowing their title or background or academic pedigree, Knack’s algorithm had identified the people whose ideas had panned out. The top 10 percent of the idea generators as predicted by Knack were in fact those who’d gone furthest in the process.

What Knack is doing, Haringa told me, “is almost like a paradigm shift.” It offers a way for his GameChanger unit to avoid wasting time on the 80 people out of 100—nearly all of whom look smart, well-trained, and plausible on paper—whose ideas just aren’t likely to work out.

Aptitude, skills, personal history, psychological stability, discretion, loyalty—companies at the time felt they had a need (and the right) to look into them all. That ambit is expanding once again, and this is undeniably unsettling. Should the ideas of scientists be dismissed because of the way they play a game? Should job candidates be ranked by what their Web habits say about them? Should the “data signature” of natural leaders play a role in promotion? These are all live questions today, and they prompt heavy concerns: that we will cede one of the most subtle and human of skills, the evaluation of the gifts and promise of other people, to machines; that the models will get it wrong; that some people will never get a shot in the new workforce.

scoring distance from work could violate equal-employment-opportunity standards. Marital status? Motherhood? Church membership? “Stuff like that,” Meyerle said, “we just don’t touch”—at least not in the U.S., where the legal environment is strict. Meyerle told me that Evolv has looked into these sorts of factors in its work for clients abroad, and that some of them produce “startling results.”

consider the alternative. A mountain of scholarly literature has shown that the intuitive way we now judge professional potential is rife with snap judgments and hidden biases, rooted in our upbringing or in deep neurological connections that doubtless served us well on the savanna but would seem to have less bearing on the world of work.

We may like to think that society has become more enlightened since those days, and in many ways it has, but our biases are mostly unconscious, and they can run surprisingly deep. Consider race. For a 2004 study called “Are Emily and Greg More Employable Than Lakisha and Jamal?,” the economists Sendhil Mullainathan and Marianne Bertrand put white-sounding names (Emily Walsh, Greg Baker) or black-sounding names (Lakisha Washington, Jamal Jones) on similar fictitious résumés, which they then sent out to a variety of companies in Boston and Chicago. To get the same number of callbacks, they learned, they needed to either send out half again as many résumés with black names as those with white names, or add eight extra years of relevant work experience to the résumés with black names.

a sociologist at Northwestern, spent parts of the three years from 2006 to 2008 interviewing professionals from elite investment banks, consultancies, and law firms about how they recruited, interviewed, and evaluated candidates, and concluded that among the most important factors driving their hiring recommendations were—wait for it—shared leisure interests.

Lacking “reliable predictors of future performance,” Rivera writes, “assessors purposefully used their own experiences as models of merit.” Former college athletes “typically prized participation in varsity sports above all other types of involvement.” People who’d majored in engineering gave engineers a leg up, believing they were better prepared.

the prevailing system of hiring and management in this country involves a level of dysfunction that should be inconceivable in an economy as sophisticated as ours. Recent survey data collected by the Corporate Executive Board, for example, indicate that nearly a quarter of all new hires leave their company within a year of their start date, and that hiring managers wish they’d never extended an offer to one out of every five members on their team

In the late 1990s, as these assessments shifted from paper to digital formats and proliferated, data scientists started doing massive tests of what makes for a successful customer-support technician or salesperson. This has unquestionably improved the quality of the workers at many firms.

In 2010, however, Xerox switched to an online evaluation that incorporates personality testing, cognitive-skill assessment, and multiple-choice questions about how the applicant would handle specific scenarios that he or she might encounter on the job. An algorithm behind the evaluation analyzes the responses, along with factual information gleaned from the candidate’s application, and spits out a color-coded rating: red (poor candidate), yellow (middling), or green (hire away). Those candidates who score best, I learned, tend to exhibit a creative but not overly inquisitive personality, and participate in at least one but not more than four social networks, among many other factors. (Previous experience, one of the few criteria that Xerox had explicitly screened for in the past, turns out to have no bearing on either productivity or retention

When Xerox started using the score in its hiring decisions, the quality of its hires immediately improved. The rate of attrition fell by 20 percent in the initial pilot period, and over time, the number of promotions rose. Xerox still interviews all candidates in person before deciding to hire them, Morse told me, but, she added, “We’re getting to the point where some of our hiring managers don’t even want to interview anymore”

Gone are the days, Ostberg told me, when, say, a small survey of college students would be used to predict the statistical validity of an evaluation tool. “We’ve got a data set of 347,000 actual employees who have gone through these different types of assessments or tools,” he told me, “and now we have performance-outcome data, and we can split those and slice and dice by industry and location.”

Evolv’s tests allow companies to capture data about everybody who applies for work, and everybody who gets hired—a complete data set from which sample bias, long a major vexation for industrial-organization psychologists, simply disappears. The sheer number of observations that this approach makes possible allows Evolv to say with precision which attributes matter more to the success of retail-sales workers (decisiveness, spatial orientation, persuasiveness) or customer-service personnel at call centers (rapport-building)

There are some data that Evolv simply won’t use, out of a concern that the information might lead to systematic bias against whole classes of people

the idea that hiring was a science fell out of favor. But now it’s coming back, thanks to new technologies and methods of analysis that are cheaper, faster, and much-wider-ranging than what we had before

what most excites him are the possibilities that arise from monitoring the entire life cycle of a worker at any given company.

Now the two companies are working together to marry pre-hire assessments to an increasing array of post-hire data: about not only performance and duration of service but also who trained the employees; who has managed them; whether they were promoted to a supervisory role, and how quickly; how they performed in that role; and why they eventually left.

What begins with an online screening test for entry-level workers ends with the transformation of nearly every aspect of hiring, performance assessment, and management.

I turned to Sandy Pentland, the director of the Human Dynamics Laboratory at MIT. In recent years, Pentland has pioneered the use of specialized electronic “badges” that transmit data about employees’ interactions as they go about their days. The badges capture all sorts of information about formal and informal conversations: their length; the tone of voice and gestures of the people involved; how much those people talk, listen, and interrupt; the degree to which they demonstrate empathy and extroversion; and more. Each badge generates about 100 data points a minute.

he tried the badges out on about 2,500 people, in 21 different organizations, and learned a number of interesting lessons. About a third of team performance, he discovered, can usually be predicted merely by the number of face-to-face exchanges among team members. (Too many is as much of a problem as too few.) Using data gathered by the badges, he was able to predict which teams would win a business-plan contest, and which workers would (rightly) say they’d had a “productive” or “creative” day. Not only that, but he claimed that his researchers had discovered the “data signature” of natural leaders, whom he called “charismatic connectors” and all of whom, he reported, circulate actively, give their time democratically to others, engage in brief but energetic conversations, and listen at least as much as they talk.

His group is developing apps to allow team members to view their own metrics more or less in real time, so that they can see, relative to the benchmarks of highly successful employees, whether they’re getting out of their offices enough, or listening enough, or spending enough time with people outside their own team.

Torrents of data are routinely collected by American companies and now sit on corporate servers, or in the cloud, awaiting analysis. Bloomberg reportedly logs every keystroke of every employee, along with their comings and goings in the office. The Las Vegas casino Harrah’s tracks the smiles of the card dealers and waitstaff on the floor (its analytics team has quantified the impact of smiling on customer satisfaction). E‑mail, of course, presents an especially rich vein to be mined for insights about our productivity, our treatment of co-workers, our willingness to collaborate or lend a hand, our patterns of written language, and what those patterns reveal about our intelligence, social skills, and behavior.

people analytics will ultimately have a vastly larger impact on the economy than the algorithms that now trade on Wall Street or figure out which ads to show us. He reminded me that we’ve witnessed this kind of transformation before in the history of management science. Near the turn of the 20th century, both Frederick Taylor and Henry Ford famously paced the factory floor with stopwatches, to improve worker efficiency.

“The quantities of data that those earlier generations were working with,” he said, “were infinitesimal compared to what’s available now. There’s been a real sea change in the past five years, where the quantities have just grown so large—petabytes, exabytes, zetta—that you start to be able to do things you never could before.”

People analytics will unquestionably provide many workers with more options and more power. Gild, for example, helps companies find undervalued software programmers, working indirectly to raise those people’s pay. Other companies are doing similar work. One called Entelo, for instance, specializes in using algorithms to identify potentially unhappy programmers who might be receptive to a phone cal

He sees it not only as a boon to a business’s productivity and overall health but also as an important new tool that individual employees can use for self-improvement: a sort of radically expanded The 7 Habits of Highly Effective People, custom-written for each of us, or at least each type of job, in the workforce.

the most exotic development in people analytics today is the creation of algorithms to assess the potential of all workers, across all companies, all the time.

The way Gild arrives at these scores is not simple. The company’s algorithms begin by scouring the Web for any and all open-source code, and for the coders who wrote it. They evaluate the code for its simplicity, elegance, documentation, and several other factors, including the frequency with which it’s been adopted by other programmers. For code that was written for paid projects, they look at completion times and other measures of productivity. Then they look at questions and answers on social forums such as Stack Overflow, a popular destination for programmers seeking advice on challenging projects. They consider how popular a given coder’s advice is, and how widely that advice ranges.

The algorithms go further still. They assess the way coders use language on social networks from LinkedIn to Twitter; the company has determined that certain phrases and words used in association with one another can distinguish expert programmers from less skilled ones. Gild knows these phrases and words are associated with good coding because it can correlate them with its evaluation of open-source code, and with the language and online behavior of programmers in good positions at prestigious companies.

having made those correlations, Gild can then score programmers who haven’t written open-source code at all, by analyzing the host of clues embedded in their online histories. They’re not all obvious, or easy to explain. Vivienne Ming, Gild’s chief scientist, told me that one solid predictor of strong coding is an affinity for a particular Japanese manga site.

Gild’s CEO, Sheeroy Desai, told me he believes his company’s approach can be applied to any occupation characterized by large, active online communities, where people post and cite individual work, ask and answer professional questions, and get feedback on projects. Graphic design is one field that the company is now looking at, and many scientific, technical, and engineering roles might also fit the bill. Regardless of their occupation, most people leave “data exhaust” in their wake, a kind of digital aura that can reveal a lot about a potential hire.

professionally relevant personality traits can be judged effectively merely by scanning Facebook feeds and photos. LinkedIn, of course, captures an enormous amount of professional data and network information, across just about every profession. A controversial start-up called Klout has made its mission the measurement and public scoring of people’s online social influence.

Mullainathan expressed amazement at how little most creative and professional workers (himself included) know about what makes them effective or ineffective in the office. Most of us can’t even say with any certainty how long we’ve spent gathering information for a given project, or our pattern of information-gathering, never mind know which parts of the pattern should be reinforced, and which jettisoned. As Mullainathan put it, we don’t know our own “production function.”

Over time, better job-matching technologies are likely to begin serving people directly, helping them see more clearly which jobs might suit them and which companies could use their skills. In the future, Gild plans to let programmers see their own profiles and take skills challenges to try to improve their scores. It intends to show them its estimates of their market value, too, and to recommend coursework that might allow them to raise their scores even more. Not least, it plans to make accessible the scores of typical hires at specific companies, so that software engineers can better see the profile they’d need to land a particular job

Knack, for its part, is making some of its video games available to anyone with a smartphone, so people can get a better sense of their strengths, and of the fields in which their strengths would be most valued. (Palo Alto High School recently adopted the games to help students assess careers.) Ultimately, the company hopes to act as matchmaker between a large network of people who play its games (or have ever played its games) and a widening roster of corporate clients, each with its own specific profile for any given type of job.

When I began my reporting for this story, I was worried that people analytics, if it worked at all, would only widen the divergent arcs of our professional lives, further gilding the path of the meritocratic elite from cradle to grave, and shutting out some workers more definitively. But I now believe the opposite is likely to happen, and that we’re headed toward a labor market that’s fairer to people at every stage of their careers

For decades, as we’ve assessed people’s potential in the professional workforce, the most important piece of data—the one that launches careers or keeps them grounded—has been educational background: typically, whether and where people went to college, and how they did there. Over the past couple of generations, colleges and universities have become the gatekeepers to a prosperous life. A degree has become a signal of intelligence and conscientiousness, one that grows stronger the more selective the school and the higher a student’s GPA, that is easily understood by employers, and that, until the advent of people analytics, was probably unrivaled in its predictive powers.

the limitations of that signal—the way it degrades with age, its overall imprecision, its many inherent biases, its extraordinary cost—are obvious. “Academic environments are artificial environments,” Laszlo Bock, Google’s senior vice president of people operations, told The New York Times in June. “People who succeed there are sort of finely trained, they’re conditioned to succeed in that environment,” which is often quite different from the workplace.

because one’s college history is such a crucial signal in our labor market, perfectly able people who simply couldn’t sit still in a classroom at the age of 16, or who didn’t have their act together at 18, or who chose not to go to graduate school at 22, routinely get left behind for good. That such early factors so profoundly affect career arcs and hiring decisions made two or three decades later is, on its face, absurd.

I spoke with managers at a lot of companies who are using advanced analytics to reevaluate and reshape their hiring, and nearly all of them told me that their research is leading them toward pools of candidates who didn’t attend college—for tech jobs, for high-end sales positions, for some managerial roles. In some limited cases, this is because their analytics revealed no benefit whatsoever to hiring people with college degrees; in other cases, and more often, it’s because they revealed signals that function far better than college history,

Google, too, is hiring a growing number of nongraduates. Many of the people I talked with reported that when it comes to high-paying and fast-track jobs, they’re reducing their preference for Ivy Leaguers and graduates of other highly selective schools.

This process is just beginning. Online courses are proliferating, and so are online markets that involve crowd-sourcing. Both arenas offer new opportunities for workers to build skills and showcase competence. Neither produces the kind of instantly recognizable signals of potential that a degree from a selective college, or a first job at a prestigious firm, might. That’s a problem for traditional hiring managers, because sifting through lots of small signals is so difficult and time-consuming.

all of these new developments raise philosophical questions. As professional performance becomes easier to measure and see, will we become slaves to our own status and potential, ever-focused on the metrics that tell us how and whether we are measuring up? Will too much knowledge about our limitations hinder achievement and stifle our dreams? All I can offer in response to these questions, ironically, is my own gut sense, which leads me to feel cautiously optimistic.

Google’s understanding of the promise of analytics is probably better than anybody else’s, and the company has been changing its hiring and management practices as a result of its ongoing analyses. (Brainteasers are no longer used in interviews, because they do not correlate with job success; GPA is not considered for anyone more than two years out of school, for the same reason—the list goes on.) But for all of Google’s technological enthusiasm, these same practices are still deeply human. A real, live person looks at every résumé the company receives. Hiring decisions are made by committee and are based in no small part on opinions formed during structured interviews.

in general what he argues is that if you take a look at animal cognition, human too, it's computational systems. Therefore, you want to look the units of computation. Think about a Turing machine, say, which is the simplest form of computation, you have to find units that have properties like "read", "write" and "address." That's the minimal computational unit, so you got to look in the brain for those. You're never going to find them if you look for strengthening of synaptic connections or field properties, and so on. You've got to start by looking for what's there and what's working and you see that from Marr's highest level.

it's basically in the spirit of Marr's analysis. So when you're studying vision, he argues, you first ask what kind of computational tasks is the visual system carrying out. And then you look for an algorithm that might carry out those computations and finally you search for mechanisms of the kind that would make the algorithm work. Otherwise, you may never find anything.

"Good Old Fashioned AI," as it's labeled now, made strong use of formalisms in the tradition of Gottlob Frege and Bertrand Russell, mathematical logic for example, or derivatives of it, like nonmonotonic reasoning and so on. It's interesting from a history of science perspective that even very recently, these approaches have been almost wiped out from the mainstream and have been largely replaced -- in the field that calls itself AI now -- by probabilistic and statistical models. My question is, what do you think explains that shift and is it a step in the right direction?

AI and robotics got to the point where you could actually do things that were useful, so it turned to the practical applications and somewhat, maybe not abandoned, but put to the side, the more fundamental scientific questions, just caught up in the success of the technology and achieving specific goals.

The approximating unanalyzed data kind is sort of a new approach, not totally, there's things like it in the past. It's basically a new approach that has been accelerated by the existence of massive memories, very rapid processing, which enables you to do things like this that you couldn't have done by hand. But I think, myself, that it is leading subjects like computational cognitive science into a direction of maybe some practical applicability... ..in engineering? Chomsky: ...But away from understanding.

I was very skeptical about the original work. I thought it was first of all way too optimistic, it was assuming you could achieve things that required real understanding of systems that were barely understood, and you just can't get to that understanding by throwing a complicated machine at it.

if success is defined as getting a fair approximation to a mass of chaotic unanalyzed data, then it's way better to do it this way than to do it the way the physicists do, you know, no thought experiments about frictionless planes and so on and so forth. But you won't get the kind of understanding that the sciences have always been aimed at -- what you'll get at is an approximation to what's happening.

Suppose you want to predict tomorrow's weather. One way to do it is okay I'll get my statistical priors, if you like, there's a high probability that tomorrow's weather here will be the same as it was yesterday in Cleveland, so I'll stick that in, and where the sun is will have some effect, so I'll stick that in, and you get a bunch of assumptions like that, you run the experiment, you look at it over and over again, you correct it by Bayesian methods, you get better priors. You get a pretty good approximation of what tomorrow's weather is going to be. That's not what meteorologists do -- they want to understand how it's working. And these are just two different concepts of what success means, of what achievement is.

if you get more and more data, and better and better statistics, you can get a better and better approximation to some immense corpus of text, like everything in The Wall Street Journal archives -- but you learn nothing about the language.

the right approach, is to try to see if you can understand what the fundamental principles are that deal with the core properties, and recognize that in the actual usage, there's going to be a thousand other variables intervening -- kind of like what's happening outside the window, and you'll sort of tack those on later on if you want better approximations, that's a different approach.

take a concrete example of a new field in neuroscience, called Connectomics, where the goal is to find the wiring diagram of very complex organisms, find the connectivity of all the neurons in say human cerebral cortex, or mouse cortex. This approach was criticized by Sidney Brenner, who in many ways is [historically] one of the originators of the approach. Advocates of this field don't stop to ask if the wiring diagram is the right level of abstraction -- maybe it's no

if you went to MIT in the 1960s, or now, it's completely different. No matter what engineering field you're in, you learn the same basic science and mathematics. And then maybe you learn a little bit about how to apply it. But that's a very different approach. And it resulted maybe from the fact that really for the first time in history, the basic sciences, like physics, had something really to tell engineers. And besides, technologies began to change very fast, so not very much point in learning the technologies of today if it's going to be different 10 years from now. So you have to learn the fundamental science that's going to be applicable to whatever comes along next. And the same thing pretty much happened in medicine.

that's the kind of transition from something like an art, that you learn how to practice -- an analog would be trying to match some data that you don't understand, in some fashion, maybe building something that will work -- to science, what happened in the modern period, roughly Galilean science.

it turns out that there actually are neural circuits which are reacting to particular kinds of rhythm, which happen to show up in language, like syllable length and so on. And there's some evidence that that's one of the first things that the infant brain is seeking -- rhythmic structures. And going back to Gallistel and Marr, its got some computational system inside which is saying "okay, here's what I do with these things" and say, by nine months, the typical infant has rejected -- eliminated from its repertoire -- the phonetic distinctions that aren't used in its own language.

people like Shimon Ullman discovered some pretty remarkable things like the rigidity principle. You're not going to find that by statistical analysis of data. But he did find it by carefully designed experiments. Then you look for the neurophysiology, and see if you can find something there that carries out these computations. I think it's the same in language, the same in studying our arithmetical capacity, planning, almost anything you look at. Just trying to deal with the unanalyzed chaotic data is unlikely to get you anywhere, just like as it wouldn't have gotten Galileo anywhere.

with regard to cognitive science, we're kind of pre-Galilean, just beginning to open up the subject

You can invent a world -- I don't think it's our world -- but you can invent a world in which nothing happens except random changes in objects and selection on the basis of external forces. I don't think that's the way our world works, I don't think it's the way any biologist thinks it is. There are all kind of ways in which natural law imposes channels within which selection can take place, and some things can happen and other things don't happen. Plenty of things that go on in the biology in organisms aren't like this. So take the first step, meiosis. Why do cells split into spheres and not cubes? It's not random mutation and natural selection; it's a law of physics. There's no reason to think that laws of physics stop there, they work all the way through. Well, they constrain the biology, sure. Chomsky: Okay, well then it's not just random mutation and selection. It's random mutation, selection, and everything that matters, like laws of physics.

What I think is valuable is the history of science. I think we learn a lot of things from the history of science that can be very valuable to the emerging sciences. Particularly when we realize that in say, the emerging cognitive sciences, we really are in a kind of pre-Galilean stage. We don't know wh

at we're looking for anymore than Galileo did, and there's a lot to learn from that.

In practical terms, the results meant that nonpreferred investigators had to submit higher quality grants to get money, whereas preferred investigators could get relatively lower quality grants funded. For instance, in a simulation that assumed that the top 10% of grants were funded, and that bias reduced the scores of nonpreferred applicants by an average of 3.7%, the preferred applicants got 118 funded grants, compared with just 82 from nonpreferred applicants.

When I wrote a series last year, “When Whites Just Don’t Get It,” the reaction from white men was often indignant: It’s an equal playing field now! Get off our case!

Yet the evidence is overwhelming that unconscious bias remains widespread in ways that systematically benefit both whites and men. So white men get a double dividend, a payoff from both racial and gender biases.

male professors are disproportionately likely to be described as a “star” or “genius.” Female professors are disproportionately described as “nasty,” “ugly,” “bossy” or “disorganized.”

When students were taking the class from someone they believed to be male, they rated the teacher more highly. The very same teacher, when believed to be female, was rated significantly lower.

The study found that a résumé with a name like Emily or Greg received 50 percent more callbacks than the same résumé with a name like Lakisha or Jamal. Having a white-sounding name was as beneficial as eight years’ work experience.

Then there was the study in which researchers asked professors to evaluate the summary of a supposed applicant for a post as laboratory manager, but, in some cases, the applicant was named John and in others Jennifer. Everything else was the same.“John” was rated an average of 4.0 on a 7-point scale for competence, “Jennifer” a 3.3. When asked to propose an annual starting salary for the applicant, the professors suggested on average a salary for “John” almost $4,000 higher than for “Jennifer.”Continue reading the main story Continue reading the main story

While we don’t notice systematic unfairness, we do observe specific efforts to redress it — such as affirmative action, which often strikes white men as profoundly unjust. Thus a majority of white Americans surveyed in a 2011 study said that there is now more racism against whites than against blacks.

They were right about control but wrong about the controllers. Our Internet handlers, not government, are using operant conditioning to modify our behavior today.

we now know how to design cue, activity, and reward systems to more effectively leverage our brain chemistry and program human behavior.

The beauty of the Internet is that by combining big data, behavioral targeting, wearable and mobile devices, and GPS, application developers can design more effective operant conditioning environments and keep us in virtual Skinner boxes as long as we have a smart phone in our pockets.

Operant conditioning techniques will and are currently being used to program the behavior of susceptible Internet users -- young men who play MMORPG (Massively Multiplayer Online Role-Playing Games) for forty hours a week, women who commit hours to social networks, shoppers seeking the thrill of a deal, and poker players.

As smart devices become integrated into our lives, retailers who will know where we are standing in stores and fast food restaurants and bars will find ways to provide us with cues to trigger behaviors.

The real question is how many hundreds of millions of us will become susceptible to what I believe will prove to be history's most potent marketing techniques.

For Francis Bacon and the other early Scientific Revolutionaries, this was a fair price to pay for doing divine work – God, after all, was thought to be himself transcendent and perhaps even alienated from nature. But without this theistic assumption, it becomes difficult to justify the unfettered pursuit of science, once both the costs and benefits are each given their due. Of course, we could simply say that science is what turns humans into gods. For all its hubris, this response would at least possess the virtues of candor and consistency. As it stands, scientists shy away from any such strong self-understandings, preferring to hide behind more passive accounts of their activities – e.g. they ‘describe’ rather than generate phenomena, they ‘explain’ rather than justify nature, etc. Lost in this secular translation of an originally sacred mission is the scientist’s sense of personal responsibility qua scientist.

Rather than thinking of science as a “force for good”, we should think of it as an inherent human activity, like com

merce.

“It depends on what you mean by artificial intelligence.”

Computers are flexible enough to model the strange evolved convolutions of our thought, and yet responsive only to precise instructions. So if the endeavor succeeds, it will be a double victory: we will finally come to know the exact mechanics of our selves—and we’ll have made intelligent machines.

Ever since he was about 14, when he found out that his youngest sister, Molly, couldn’t understand language, because she “had something deeply wrong with her brain” (her neurological condition probably dated from birth, and was never diagnosed), he had been quietly obsessed by the relation of mind to matter.

How could consciousness be physical? How could a few pounds of gray gelatin give rise to our very thoughts and selves?

Consciousness, Hofstadter wanted to say, emerged via just the same kind of “level-crossing feedback loop.”

In 1931, the Austrian-born logician Kurt Gödel had famously shown how a mathematical system could make statements not just about numbers but about the system itself.

But then AI changed, and Hofstadter didn’t change with it, and for that he all but disappeared.

By the early 1980s, the pressure was great enough that AI, which had begun as an endeavor to answer yes to Alan Turing’s famous question, “Can machines think?,” started to mature—or mutate, depending on your point of view—into a subfield of software engineering, driven by applications.

Take Deep Blue, the IBM supercomputer that bested the chess grandmaster Garry Kasparov. Deep Blue won by brute force.

Hofstadter wanted to ask: Why conquer a task if there’s no insight to be had from the victory? “Okay,” he says, “Deep Blue plays very good chess—so what? Does that tell you something about how we play chess? No. Does it tell you about how Kasparov envisions, understands a chessboard?”

AI started working when it ditched humans as a model, because it ditched them. That’s the thrust of the analogy: Airplanes don’t flap their wings; why should computers think?

It’s a compelling point. But it loses some bite when you consider what we want: a Google that knows, in the way a human would know, what you really mean when you search for something

Cognition is recognition,” he likes to say. He describes “seeing as” as the essential cognitive act: you see some lines a

How do you make a search engine that understands if you don’t know how you understand?

s “an A,” you see a hunk of wood as “a table,” you see a meeting as “an emperor-has-no-clothes situation” and a friend’s pouting as “sour grapes”

That’s what it means to understand. But how does understanding work?

analogy is “the fuel and fire of thinking,” the bread and butter of our daily mental lives.

there’s an analogy, a mental leap so stunningly complex that it’s a computational miracle: somehow your brain is able to strip any remark of the irrelevant surface details and extract its gist, its “skeletal essence,” and retrieve, from your own repertoire of ideas and experiences, the story or remark that best relates.

in Hofstadter’s telling, the story goes like this: when everybody else in AI started building products, he and his team, as his friend, the philosopher Daniel Dennett, wrote, “patiently, systematically, brilliantly,” way out of the light of day, chipped away at the real problem. “Very few people are interested in how human intelligence works,”

For more than 30 years, Hofstadter has worked as a professor at Indiana University at Bloomington

The quick unconscious chaos of a mind can be slowed down on the computer, or rewound, paused, even edited

project out of IBM called Candide. The idea behind Candide, a machine-translation system, was to start by admitting that the rules-based approach requires too deep an understanding of how language is produced; how semantics, syntax, and morphology work; and how words commingle in sentences and combine into paragraphs—to say nothing of understanding the ideas for which those words are merely conduits.

, Hofstadter directs the Fluid Analogies Research Group, affectionately known as FARG.

Parts of a program can be selectively isolated to see how it functions without them; parameters can be changed to see how performance improves or degrades. When the computer surprises you—whether by being especially creative or especially dim-witted—you can see exactly why.

When you read Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought, which describes in detail this architecture and the logic and mechanics of the programs that use it, you wonder whether maybe Hofstadter got famous for the wrong book.

ut very few people, even admirers of GEB, know about the book or the programs it describes. And maybe that’s because FARG’s programs are almost ostentatiously impractical. Because they operate in tiny, seemingly childish “microdomains.” Because there is no task they perform better than a human.

“The entire effort of artificial intelligence is essentially a fight against computers’ rigidity.”

“Nobody is a very reliable guide concerning activities in their mind that are, by definition, subconscious,” he once wrote. “This is what makes vast collections of errors so important. In an isolated error, the mechanisms involved yield only slight traces of themselves; however, in a large collection, vast numbers of such slight traces exist, collectively adding up to strong evidence for (and against) particular mechanisms.

So IBM threw that approach out the window. What the developers did instead was brilliant, but so straightforward,

The technique is called “machine learning.” The goal is to make a device that takes an English sentence as input and spits out a French sentence

What you do is feed the machine English sentences whose French translations you already know. (Candide, for example, used 2.2 million pairs of sentences, mostly from the bilingual proceedings of Canadian parliamentary debates.)

By repeating this process with millions of pairs of sentences, you will gradually calibrate your machine, to the point where you’ll be able to enter a sentence whose translation you don’t know and get a reasonable resul

Google Translate team can be made up of people who don’t speak most of the languages their application translates. “It’s a bang-for-your-buck argument,” Estelle says. “You probably want to hire more engineers instead” of native speakers.

But the need to serve 1 billion customers has a way of forcing the company to trade understanding for expediency. You don’t have to push Google Translate very far to see the compromises its developers have made for coverage, and speed, and ease of engineering. Although Google Translate captures, in its way, the products of human intelligence, it isn’t intelligent itself.

“Did we sit down when we built Watson and try to model human cognition?” Dave Ferrucci, who led the Watson team at IBM, pauses for emphasis. “Absolutely not. We just tried to create a machine that could win at Jeopardy.”

For Ferrucci, the definition of intelligence is simple: it’s what a program can do. Deep Blue was intelligent because it could beat Garry Kasparov at chess. Watson was intelligent because it could beat Ken Jennings at Jeopardy.

“There’s a limited number of things you can do as an individual, and I think when you dedicate your life to something, you’ve got to ask yourself the question: To what end? And I think at some point I asked myself that question, and what it came out to was, I’m fascinated by how the human mind works, it would be fantastic to understand cognition, I love to read books on it, I love to get a grip on it”—he called Hofstadter’s work inspiring—“but where am I going to go with it? Really what I want to do is build computer systems that do something.

Peter Norvig, one of Google’s directors of research, echoes Ferrucci almost exactly. “I thought he was tackling a really hard problem,” he told me about Hofstadter’s work. “And I guess I wanted to do an easier problem.”

Of course, the folly of being above the fray is that you’re also not a part of it

As our machines get faster and ingest more data, we allow ourselves to be dumber. Instead of wrestling with our hardest problems in earnest, we can just plug in billions of examples of them.

Hofstadter hasn’t been to an artificial-intelligence conference in 30 years. “There’s no communication between me and these people,” he says of his AI peers. “None. Zero. I don’t want to talk to colleagues that I find very, very intransigent and hard to convince of anything

Everything from plate tectonics to evolution—all those ideas, someone had to fight for them, because people didn’t agree with those ideas.

Academia is not an environment where you just sit in your bath and have ideas and expect everyone to run around getting excited. It’s possible that in 50 years’ time we’ll say, ‘We really should have listened more to Doug Hofstadter.’ But it’s incumbent on every scientist to at least think about what is needed to get people to understand the ideas.”

Very little of the surveillance yielded information Ikea was able to use against the targets of the data sweeps. But court documents indicate that investigators suspect that Ikea may have occasionally used knowledge of personal information to quell workplace grievances or to prompt a resignation.

In transcripts of police interviews, Mr. Paris and his colleagues in the risk management department acknowledged receiving frequent requests from Ikea store managers across France for criminal background checks, driving records and vehicle registrations — though only a fraction of those inquiries uncovered a notable offense. Usually the requests were limited to one or two people after a theft or a complaint of harassment among employees. But sometimes lists containing dozens of names of employees or job applicants were submitted for vetting, and then forwarded to one of a handful of trusted private investigators for processing.

In the process, fit has become a catchall used to justify hiring people who are similar to decision makers and rejecting people who are not.

The concept of fit first gained traction in the 1980s. The original idea was that if companies hired individuals whose personalities and values — and not just their skills — meshed with an organization’s strategy, workers would feel more attached to their jobs, work harder and stay longer.

in many organizations, fit has gone rogue. I saw this firsthand while researching the hiring practices of the country’s top investment banks, management consultancies and law firms. I interviewed 120 decision makers and spent nine months observing

While résumés (and connections) influenced which applicants made it into the interview room, interviewers’ perceptions of fit strongly shaped who walked out with job offers.

Crucially, though, for these gatekeepers, fit was not about a match with organizational values. It was about personal fit. In these time- and team-intensive jobs, professionals at all levels of seniority reported wanting to hire people with whom they enjoyed hanging out and could foresee developing close relationships with

To judge fit, interviewers commonly relied on chemistry. “

Many used the “airport test.” As a managing director at an investment bank put it, “Would I want to be stuck in an airport in Minneapolis in a snowstorm with them?”

interviewers were primarily interested in new hires whose hobbies, hometowns and biographies matched their own. Bonding over rowing college crew, getting certified in scuba, sipping single-malt Scotches in the Highlands or dining at Michelin-starred restaurants was evidence of fit; sharing a love of teamwork or a passion for pleasing clients was not

it has become a common feature of American corporate culture. Employers routinely ask job applicants about their hobbies and what they like to do for fun, while a complementary self-help industry informs white-collar job seekers that chemistry, not qualifications, will win them an offer.

Selection based on personal fit can keep demographic and cultural diversity low

In the elite firms I studied, the types of shared experiences associated with fit typically required large investments of time and money.

Class-biased definitions of fit are one reason investment banks, management consulting firms and law firms are dominated by people from the highest socioeconomic backgrounds

Also, whether the industry is finance, high-tech or fashion, a good fit in most American corporations still tends to be stereotypically masculine.

Perhaps most important, it is easy to mistake rapport for skill. Just as they erroneously believe that they can accurately tell when someone is lying, people tend to be overly confident in their ability to spot talent. Unstructured interviews, which are the most popular hiring tools for American managers and the primary way they judge fit, are notoriously poor predictors of job performance.

Organizations that use cultural fit for competitive advantage tend to favor concrete tools like surveys and structured interviews that systematically test behaviors associated with increased performance and employee retention.

For managers who want to use cultural fit in a more productive way, I have several suggestions.

First, communicate a clear and consistent idea of what the organization’s culture is (and is not) to potential employees. Second, make sure the definition of cultural fit is closely aligned with business goals. Ideally, fit should be based on data-driven analysis of what types of values, traits and behaviors actually predict on-the-job success. Third, create formal procedures like checklists for measuring fit, so that assessment is not left up to the eyes (and extracurriculars) of the beholder.

But cultural fit has become a new form of discrimination that keeps demographic and cultural diversity down

The crash, which killed all 49 people on board as well as one person on the ground, should never have happened.

aptain’s response to the stall warning, the investigators reported, “should have been automatic, but his improper flight control inputs were inconsistent with his training” and instead revealed “startle and confusion.

Automation has become so sophisticated that on a typical passenger flight, a human pilot holds the controls for a grand total of just three minutes.

We humans have been handing off chores, both physical and mental, to tools since the invention of the lever, the wheel, and the counting bead.

And that, many aviation and automation experts have concluded, is a problem. Overuse of automation erodes pilots’ expertise and dulls their reflexes,

No one doubts that autopilot has contributed to improvements in flight safety over the years. It reduces pilot fatigue and provides advance warnings of problems, and it can keep a plane airborne should the crew become disabled. But the steady overall decline in plane crashes masks the recent arrival of “a spectacularly new type of accident,”

“We’re forgetting how to fly.”

The experience of airlines should give us pause. It reveals that automation, for all its benefits, can take a toll on the performance and talents of those who rely on it. The implications go well beyond safety. Because automation alters how we act, how we learn, and what we know, it has an ethical dimension. The choices we make, or fail to make, about which tasks we hand off to machines shape our lives and the place we make for ourselves in the world.

What pilots spend a lot of time doing is monitoring screens and keying in data. They’ve become, it’s not much of an exaggeration to say, computer operators.

Examples of complacency and bias have been well documented in high-risk situations—on flight decks and battlefields, in factory control rooms—but recent studies suggest that the problems can bedevil anyone working with a computer

That may leave the person operating the computer to play the role of a high-tech clerk—entering data, monitoring outputs, and watching for failures. Rather than opening new frontiers of thought and action, software ends up narrowing our focus.

A labor-saving device doesn’t just provide a substitute for some isolated component of a job or other activity. It alters the character of the entire task, including the roles, attitudes, and skills of the people taking part.

when we work with computers, we often fall victim to two cognitive ailments—complacency and bias—that can undercut our performance and lead to mistakes. Automation complacency occurs when a computer lulls us into a false sense of security. Confident that the machine will work flawlessly and handle any problem that crops up, we allow our attention to drift.

Automation bias occurs when we place too much faith in the accuracy of the information coming through our monitors. Our trust in the software becomes so strong that we ignore or discount other information sources, including our own eyes and ears

Automation is different now. Computers can be programmed to perform complex activities in which a succession of tightly coordinated tasks is carried out through an evaluation of many variables. Many software programs take on intellectual work—observing and sensing, analyzing and judging, even making decisions—that until recently was considered the preserve of humans.

Automation turns us from actors into observers. Instead of manipulating the yoke, we watch the screen. That shift may make our lives easier, but it can also inhibit the development of expertise.

Since the late 1970s, psychologists have been documenting a phenomenon called the “generation effect.” It was first observed in studies of vocabulary, which revealed that people remember words much better when they actively call them to mind—when they generate them—than when they simply read them.

When you engage actively in a task, you set off intricate mental processes that allow you to retain more knowledge. You learn more and remember more. When you repeat the same task over a long period, your brain constructs specialized neural circuits dedicated to the activit

What looks like instinct is hard-won skill, skill that requires exactly the kind of struggle that modern software seeks to alleviate.

In many businesses, managers and other professionals have come to depend on decision-support systems to analyze information and suggest courses of action. Accountants, for example, use the systems in corporate audits. The applications speed the work, but some signs suggest that as the software becomes more capable, the accountants become less so.

You can put limits on the scope of automation, making sure that people working with computers perform challenging tasks rather than merely observing.

Experts used to assume that there were limits to the ability of programmers to automate complicated tasks, particularly those involving sensory perception, pattern recognition, and conceptual knowledge

Who needs humans, anyway? That question, in one rhetorical form or another, comes up frequently in discussions of automation. If computers’ abilities are expanding so quickly and if people, by comparison, seem slow, clumsy, and error-prone, why not build immaculately self-contained systems that perform flawlessly without any human oversight or intervention? Why not take the human factor out of the equation?

The cure for imperfect automation is total automation.

That idea is seductive, but no machine is infallible. Sooner or later, even the most advanced technology will break down, misfire, or, in the case of a computerized system, encounter circumstances that its designers never anticipated. As automation technologies become more complex, relying on interdependencies among algorithms, databases, sensors, and mechanical parts, the potential sources of failure multiply. They also become harder to detect.

conundrum of computer automation.

Because many system designers assume that human operators are “unreliable and inefficient,” at least when compared with a computer, they strive to give the operators as small a role as possible.

People end up functioning as mere monitors, passive watchers of screens. That’s a job that humans, with our notoriously wandering minds, are especially bad at

people have trouble maintaining their attention on a stable display of information for more than half an hour. “This means,” Bainbridge observed, “that it is humanly impossible to carry out the basic function of monitoring for unlikely abnormalities.”

a person’s skills “deteriorate when they are not used,” even an experienced operator will eventually begin to act like an inexperienced one if restricted to just watching.

You can program software to shift control back to human operators at frequent but irregular intervals; knowing that they may need to take command at any moment keeps people engaged, promoting situational awareness and learning.

What’s most astonishing, and unsettling, about computer automation is that it’s still in its early stages.

most software applications don’t foster learning and engagement. In fact, they have the opposite effect. That’s because taking the steps necessary to promote the development and maintenance of expertise almost always entails a sacrifice of speed and productivity.

Learning requires inefficiency. Businesses, which seek to maximize productivity and profit, would rarely accept such a trade-off. Individuals, too, almost always seek efficiency and convenience.

Abstract concerns about the fate of human talent can’t compete with the allure of saving time and money.

The small island of Igloolik, off the coast of the Melville Peninsula in the Nunavut territory of northern Canada, is a bewildering place in the winter.

, Inuit hunters have for some 4,000 years ventured out from their homes on the island and traveled across miles of ice and tundra to search for game. The hunters’ ability to navigate vast stretches of the barren Arctic terrain, where landmarks are few, snow formations are in constant flux, and trails disappear overnight, has amazed explorers and scientists for centuries. The Inuit’s extraordinary way-finding skills are born not of technological prowess—they long eschewed maps and compasses—but of a profound understanding of winds, snowdrift patterns, animal behavior, stars, and tides.

The Igloolik hunters have begun to rely on computer-generated maps to get around. Adoption of GPS technology has been particularly strong among younger Inuit, and it’s not hard to understand why.

But as GPS devices have proliferated on Igloolik, reports of serious accidents during hunts have spread. A hunter who hasn’t developed way-finding skills can easily become lost, particularly if his GPS receiver fails.

The routes so meticulously plotted on satellite maps can also give hunters tunnel vision, leading them onto thin ice or into other hazards a skilled navigator would avoid.

An Inuit on a GPS-equipped snowmobile is not so different from a suburban commuter in a GPS-equipped SUV: as he devotes his attention to the instructions coming from the computer, he loses sight of his surroundings. He travels “blindfolded,” as Aporta puts it

A unique talent that has distinguished a people for centuries may evaporate in a generation.

Computer automation severs the ends from the means. It makes getting what we want easier, but it distances us from the work of knowing. As we transform ourselves into creatures of the screen, we face an existential question: Does our essence still lie in what we know, or are we now content to be defined by what we want?

Here is how it works: Each suitor proposes to his first-choice mate; each woman has her own list of favorites. (The economists worked from the now-quaint premise that men only married women, and did the proposing.) She rejects all proposals except her favorite — but does not give him a firm answer. Each suitor rejected by his most beloved then proposes to his second choice, and each woman being wooed in this round again rejects all but her favorite.

The courting continues until everyone is betrothed. But because each woman has waited to give her final answer (the “deferred acceptance”), she has the opportunity to accept a proposal later from a suitor whom she prefers to someone she had tentatively considered earlier. The later match is preferable for her, and therefore more stable.

The deferred acceptance algorithm, Professor Pathak said, is “one of the great ideas in economics.” It quickly became the basis for a standard lesson in graduate-level economics courses.

In the case of rejection, the algorithm looks to make a match with a student’s second-choice school, and so on. Like the brides and grooms of Professors Gale and Shapley, students and schools connect only tentatively until the very end of the process.

Professor Abdulkadiroglu said he had fielded calls from anguished parents seeking advice on how their children could snare the best match. His advice: “Rank them in true preference order.”

It seems that most students prefer to go to school close to home, and if nearby schools are underperforming, students will choose them nevertheless. Researching other options is labor intensive, and poor and immigrant children in particular may not get the help they need to do it.

I liked the joy my students found when they actually earned a grade they’d been reaching for. But whereas I once thought we needed to contain grades, I now see that we may as well let them float skyward. If grade inflation is bad, fighting it is worse. Our goal should be ending the centrality of grades altogether. For years, I feared that a world of only A’s would mean the end of meaningful grades; today, I’m certain of it. But what’s so bad about that?

It’s easy to see why schools want to fight grade inflation. Grades should motivate certain students: those afraid of the stigma of a bad grade or those ambitious, by temperament or conditioning, to succeed in measurable ways. Periodic grading during a term, on quizzes, tests or papers, provides feedback to students, which should enable them to do better. And grades theoretically signal to others, such as potential employers or graduate schools, how well the student did. (Grade-point averages are also used for prizes and class rankings, though that doesn’t strike me as an important feature.)

But it’s not clear that grades work well as motivators. Although recent research on the effects of grades is limited, several studies in the 1970s, 1980s and 1990s measured how students related to a task or a class when it was graded compared to when it was ungraded. Overall, graded students are less interested in the topic at hand and — and, for obvious, common-sense reasons — more inclined to pick the easiest possible task when given the chance. In the words of progressive-education theorist Alfie Kohn, author of “The Homework Myth,” “the quality of learning declines” when grades are introduced, becoming “shallower and more superficial when the point is to get a grade.”

Even where grades can be useful, as in describing what material a student has mastered, they are remarkably crude instruments. Yes, the student who gets a 100 on a calculus exam probably grasps the material better than the student with a 60 — but only if she retains the knowledge, which grades can’t show.

I still can’t say very well what separates a B from an A. What’s more, I never see the kind of incompetence or impudence that would merit a D or an F. And now, in our grade-inflated world, it’s even harder to use grades to motivate, or give feedback, or send a signal to future employers or graduate schools.

According to a 2012 study by the Chronicle of Higher Education, GPA was seventh out of eight factors employers considered in hiring, behind internships, extracurricular activities and previous employment. Last year, Stanford’s registrar told the Chronicle about “a clamor” from employers “for something more meaningful” than the traditional transcript. The Lumina Foundation gave a$1.27 million grant to two organizations for college administrators working to develop better student records, with grades only one part of a student’s final profile.