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“We have to think about social media in a new strategic way,” he said. “It is no longer something that we can ignore. It is not a place to just wish your friends happy birthday. It is a place of business. It is a place where your career will be enhanced or degraded, depending on your use of these tools and services.”

Te’o called himself a victim of an elaborate hoax. If he’s telling the truth, he’s right in one sense, but wrong in his conclusion. He’s a victim of his age, people who are more willing to embrace fake life through a screen than the real world beyond their smartphone.

To fall in love requires a bit of unpredictable human interaction. You have to laugh with a person, test their limits, go back and forth, touch them, reveal something true about yourself. You have to show some vulnerability, some give and take. At the very least, you have to make eye contact. It’s easier to substitute texting, tweeting or Facebook posting for these basic rituals of love and friendship because the digital route offers protection. How can you get dumped when you were never really involved?

The case of Manti Te’o, the Notre Dame linebacker and finalist for college football’s highest honor, and his fake dead girlfriend takes this question to a whole new level. How can someone claim to have fallen in love with a woman he never met?

The notion that books require too much time to read dates back, at least, to midcentury entrepreneurial operations like Reader’s Digest and CliffsNotes, which offered up predigested texts. So some start-ups chose a basic approach: Take a text and break it up. Safari Flow, a service from Safari Books, offers chapters of technical manuals for a $29 monthly subscription fee. Inkling does the same with more consumer-oriented titles like cookbooks. If you want only the chapter on pasta, you can buy it for $4.99 instead of having to buy the whole book. Citia is a New York start-up with a much more ambitious approach. Working in collaboration with an author, Citia editors take a nonfiction book and reorganize its ideas onto digital cards that can be read on different devices and sent through social networks

One of the first books given the Citia treatment was Kevin Kelly’s “What Technology Wants.” Material directly from the book is in quotation marks and the author is referred to in the third person, which lends a somewhat academic distance to the summaries. Sections of the book are summarized on one card, then the reader can drill down into subsections on cards hidden underneath.

What to label these stories is another question. The Internet by its nature breaks down borders and unfreezes text. Put a book online and set it free to grow and shrink with new arguments, be broken up and reassembled as readers demand, and it might be only nostalgia that calls it by its old name.

“We will continue to recognize books as books as they migrate to the Internet, but our understanding of storytelling will inevitably expand,” Mr. Brantley said. Among the presentations at Books in Browsers this fall: “A Book Isn’t a Book Isn’t a Book” and “The Death of the Reader.”

Much of the design innovation at the moment, Mr. Brantley believes, is not coming from publishers, who must still wrestle with delivering both digital and physical books. Instead it is being developed by a tech community that “doesn’t think about stories as the end product. Instead, they think about storytelling platforms that will enable new forms of both authoring and reading.”

He cited the enormous success of Wattpad, a Canadian start-up that advertises itself as the world’s largest storytelling community. There are 10 million stories on the site.

Western philosophy thus sprang from a dualism between the intellectual senses, crowned by sight, and the lower “animal” senses, stigmatized by touch.

opto-centrism prevailed for over 2,000 years, culminating in our contemporary culture of digital simulation and spectacle. The eye continues to rule in what Roland Barthes once called our “civilization of the image.” The world is no longer our oyster, but our screen.

our current technology is arguably exacerbating our carnal alienation. While offering us enormous freedoms of fantasy and encounter, digital eros may also be removing us further from the flesh

The move toward excarnation is apparent in what is becoming more and more a fleshless society. In medicine, “bedside manner” and hand on pulse has ceded to the anonymous technologies of imaging in diagnosis and treatment. In war, hand-to-hand combat has been replaced by “targeted killing” via remote-controlled drones.

certain cyber engineers now envisage implanting transmission codes in brains so that we will not have to move a finger — or come into contact with another human being — to get what we want.

We need to return from head to foot, from brain to fingertip, from iCloud to earth. To close the distance, so that eros is more about proximity than proxy. So that soul becomes flesh, where it belongs. Such a move, I submit, would radically alter our “sense” of sex in our digital civilization. It would enhance the role of empathy, vulnerability and sensitivity in the art of carnal love, and ideally, in all of human relations. Because to love or be loved truly is to be able to say, “I have been touched.”

It is clear that these products are designed to be maximally addictive, in order to harvest as much of our attention as they can. Tech humanists say this business model is both unhealthy and inhumane – that it damages our psychological well-being and conditions us to behave in ways that diminish our humanity

The main solution that they propose is better design. By redesigning technology to be less addictive and less manipulative, they believe we can make it healthier – we can realign technology with our humanity and build products that don’t “hijack” our minds.

its most prominent spokesman is executive director Tristan Harris, a former “design ethicist” at Google who has been hailed by the Atlantic magazine as “the closest thing Silicon Valley has to a conscience”. Harris has spent years trying to persuade the industry of the dangers of tech addiction.

In February, Pierre Omidyar, the billionaire founder of eBay, launched a related initiative: the Tech and Society Solutions Lab, which aims to “maximise the tech industry’s contributions to a healthy society”.

the tech humanists are making a bid to become tech’s loyal opposition. They are using their insider credentials to promote a particular diagnosis of where tech went wrong and of how to get it back on track

The real reason tech humanism matters is because some of the most powerful people in the industry are starting to speak its idiom. Snap CEO Evan Spiegel has warned about social media’s role in encouraging “mindless scrambles for friends or unworthy distractions”,

In short, the effort to humanise computing produced the very situation that the tech humanists now consider dehumanising: a wilderness of screens where digital devices chase every last instant of our attention.

After years of ignoring their critics, industry leaders are finally acknowledging that problems exist. Tech humanists deserve credit for drawing attention to one of those problems – the manipulative design decisions made by Silicon Valley.

these decisions are only symptoms of a larger issue: the fact that the digital infrastructures that increasingly shape our personal, social and civic lives are owned and controlled by a few billionaires

Because it ignores the question of power, the tech-humanist diagnosis is incomplete – and could even help the industry evade meaningful reform

Taken up by leaders such as Zuckerberg, tech humanism is likely to result in only superficial changes

they will not address the origin of that anger. If anything, they will make Silicon Valley even more powerful.

To the litany of problems caused by “technology that extracts attention and erodes society”, the text asserts that “humane design is the solution”. Drawing on the rhetoric of the “design thinking” philosophy that has long suffused Silicon Valley, the website explains that humane design “starts by understanding our most vulnerable human instincts so we can design compassionately”

this language is not foreign to Silicon Valley. On the contrary, “humanising” technology has long been its central ambition and the source of its power. It was precisely by developing a “humanised” form of computing that entrepreneurs such as Steve Jobs brought computing into millions of users’ everyday lives

Facebook had a new priority: maximising “time well spent” on the platform, rather than total time spent. By “time well spent”, Zuckerberg means time spent interacting with “friends” rather than businesses, brands or media sources. He said the News Feed algorithm was already prioritising these “more meaningful” activities.

Tech humanists say they want to align humanity and technology. But this project is based on a deep misunderstanding of the relationship between humanity and technology: namely, the fantasy that these two entities could ever exist in separation.

They believe we can use better design to make technology serve human nature rather than exploit and corrupt it. But this idea is drawn from the same tradition that created the world that tech humanists believe is distracting and damaging us.

The story of our species began when we began to make tools

All of which is to say: humanity and technology are not only entangled, they constantly change together.

This is not just a metaphor. Recent research suggests that the human hand evolved to manipulate the stone tools that our ancestors used

The ways our bodies and brains change in conjunction with the tools we make have long inspired anxieties that “we” are losing some essential qualities

Yet as we lose certain capacities, we gain new ones.

The nature of human nature is that it changes. It can not, therefore, serve as a stable basis for evaluating the impact of technology

Yet the assumption that it doesn’t change serves a useful purpose. Treating human nature as something static, pure and essential elevates the speaker into a position of power. Claiming to tell us who we are, they tell us how we should be.

Messaging, for instance, is considered the strongest signal. It’s reasonable to assume that you’re closer to somebody you exchange messages with than somebody whose post you once liked.

Harris and his fellow tech humanists also frequently invoke the language of public health. The Center for Humane Technology’s Roger McNamee has gone so far as to call public health “the root of the whole thing”, and Harris has compared using Snapchat to smoking cigarettes

The public-health framing casts the tech humanists in a paternalistic role. Resolving a public health crisis requires public health expertise. It also precludes the possibility of democratic debate. You don’t put the question of how to treat a disease up for a vote – you call a doctor.

They also remain confined to the personal level, aiming to redesign how the individual user interacts with technology rather than tackling the industry’s structural failures. Tech humanism fails to address the root cause of the tech backlash: the fact that a small handful of corporations own our digital lives and strip-mine them for profit.

This is a fundamentally political and collective issue. But by framing the problem in terms of health and humanity, and the solution in terms of design, the tech humanists personalise and depoliticise it.

Far from challenging Silicon Valley, tech humanism offers Silicon Valley a useful way to pacify public concerns without surrendering any of its enormous wealth and power.

these principles could make Facebook even more profitable and powerful, by opening up new business opportunities. That seems to be exactly what Facebook has planned.

reported that total time spent on the platform had dropped by around 5%, or about 50m hours per day. But, Zuckerberg said, this was by design: in particular, it was in response to tweaks to the News Feed that prioritised “meaningful” interactions with “friends” rather than consuming “public content” like video and news. This would ensure that “Facebook isn’t just fun, but also good for people’s well-being”

Zuckerberg said he expected those changes would continue to decrease total time spent – but “the time you do spend on Facebook will be more valuable”. This may describe what users find valuable – but it also refers to what Facebook finds valuable

not all data is created equal. One of the most valuable sources of data to Facebook is used to inform a metric called “coefficient”. This measures the strength of a connection between two users – Zuckerberg once called it “an index for each relationship”

Facebook records every interaction you have with another user – from liking a friend’s post or viewing their profile, to sending them a message. These activities provide Facebook with a sense of how close you are to another person, and different activities are weighted differently.

Holding humanity and technology separate clears the way for a small group of humans to determine the proper alignment between them

Why is coefficient so valuable? Because Facebook uses it to create a Facebook they think you will like: it guides algorithmic decisions about what content you see and the order in which you see it. It also helps improve ad targeting, by showing you ads for things liked by friends with whom you often interact

emphasising time well spent means creating a Facebook that prioritises data-rich personal interactions that Facebook can use to make a more engaging platform.

“time well spent” means Facebook can monetise more efficiently. It can prioritise the intensity of data extraction over its extensiveness. This is a wise business move, disguised as a concession to critics

industrialists had to find ways to make the time of the worker more valuable – to extract more money from each moment rather than adding more moments. They did this by making industrial production more efficient: developing new technologies and techniques that squeezed more value out of the worker and stretched that value further than ever before.

there is another way of thinking about how to live with technology – one that is both truer to the history of our species and useful for building a more democratic future. This tradition does not address “humanity” in the abstract, but as distinct human beings, whose capacities are shaped by the tools they use.

It sees us as hybrids of animal and machine – as “cyborgs”, to quote the biologist and philosopher of science Donna Haraway.

The cyborg way of thinking, by contrast, tells us that our species is essentially technological. We change as we change our tools, and our tools change us. But even though our continuous co-evolution with our machines is inevitable, the way it unfolds is not. Rather, it is determined by who owns and runs those machines. It is a question of power

The various scandals that have stoked the tech backlash all share a single source. Surveillance, fake news and the miserable working conditions in Amazon’s warehouses are profitable. If they were not, they would not exist. They are symptoms of a profound democratic deficit inflicted by a system that prioritises the wealth of the few over the needs and desires of the many.

If being technological is a feature of being human, then the power to shape how we live with technology should be a fundamental human right

The decisions that most affect our technological lives are far too important to be left to Mark Zuckerberg, rich investors or a handful of “humane designers”. They should be made by everyone, together.

Rather than trying to humanise technology, then, we should be trying to democratise it. We should be demanding that society as a whole gets to decide how we live with technology

What does this mean in practice? First, it requires limiting and eroding Silicon Valley’s power.

Antitrust laws and tax policy offer useful ways to claw back the fortunes Big Tech has built on common resources

democratic governments should be making rules about how those firms are allowed to behave – rules that restrict how they can collect and use our personal data, for instance, like the General Data Protection Regulation

This means developing publicly and co-operatively owned alternatives that empower workers, users and citizens to determine how they are run.

we might demand that tech firms pay for the privilege of extracting our data, so that we can collectively benefit from a resource we collectively create.

Maurice discloses her Catholicism, and the reader is aware that prayer undergirds the therapy, but the book is about the therapy, not the prayer. Specifically, it is about the importance of choosing methods of treatment that are supported by scientific data. Applied behavioral analysis is all about data: its daily collection and interpretation. The method is empirical, hard-headed, and results-oriented.

on a deeper level, the book is profoundly religious, more religious perhaps than its author intended. In this reading of the book, autism is not only a developmental disorder afflicting particular individuals, but a metaphor for the spiritual condition of fallen man.

Maurice’s autistic daughter is indifferent to her mother

In this reading of the book, the mother is God, watching a child of his wander away from him into darkness: a heartbroken but also a determined God, determined at any cost to bring the child back

the mother doesn’t turn back, concedes nothing to the condition that has overtaken her daughter. There is no political correctness in Maurice’s attitude to autism; no nod to “neurodiversity.” Like the God in Donne’s sonnet, “Batter my heart, three-personed God,” she storms the walls of her daughter’s condition

Like God, she sets her sights high, commits both herself and her child to a demanding, sometimes painful therapy (life!), and receives back in the end a fully alive, loving, talking, and laughing child

the reader realizes that for God, the harrowing drama of recovery is never a singular, or even a twice-told tale, but a perennial one. Every child of his, every child of Adam and Eve, wanders away from him into darkness

we have an epidemic of autism, or “autism spectrum disorder,” which includes classic autism (Maurice’s children’s diagnosis); atypical autism, which exhibits some but not all of the defects of autism; and Asperger’s syndrome, which is much more common in boys than in girls and is characterized by average or above average language skills but impaired social skills.

At the same time, all around us, we have an epidemic of something else. On the street and in the office, at the dinner table and on a remote hiking trail, in line at the deli and pushing a stroller through the park, people go about their business bent over a small glowing screen, as if praying.

This latter epidemic, or experiment, has been going on long enough that people are beginning to worry about its effects.

for a comprehensive survey of the emerging situation on the ground, the interested reader might look at Sherry Turkle’s recent book, Reclaiming Conversation: The Power of Talk in a Digital Age.

she also describes in exhaustive, chilling detail the mostly horrifying effects recent technology has had on families and workplaces, educational institutions, friendships and romance.

many of the promises of technology have not only not been realized, they have backfired. If technology promised greater connection, it has delivered greater alienation. If it promised greater cohesion, it has led to greater fragmentation, both on a communal and individual level.

If thinking that the grass is always greener somewhere else used to be a marker of human foolishness and a temptation to be resisted, today it is simply a possibility to be checked out. The new phones, especially, turn out to be portable Pied Pipers, irresistibly pulling people away from the people in front of them and the tasks at hand.

all it takes is a single phone on a table, even if that phone is turned off, for the conversations in the room to fade in number, duration, and emotional depth.

an infinitely malleable screen isn’t an invitation to stability, but to restlessness

Current media, and the fear of missing out that they foster (a motivator now so common it has its own acronym, FOMO), drive lives of continual interruption and distraction, of virtual rather than real relationships, and of “little” rather than “big” talk

if you may be interrupted at any time, it makes sense, as a student explains to Turkle, to “keep things light.”

we are reaping deficits in emotional intelligence and empathy; loneliness, but also fears of unrehearsed conversations and intimacy; difficulties forming attachments but also difficulties tolerating solitude and boredom

consider the testimony of the faculty at a reputable middle school where Turkle is called in as a consultant

The teachers tell Turkle that their students don’t make eye contact or read body language, have trouble listening, and don’t seem interested in each other, all markers of autism spectrum disorder

Like much younger children, they engage in parallel play, usually on their phones. Like autistic savants, they can call up endless information on their phones, but have no larger context or overarching narrative in which to situate it

Students are so caught up in their phones, one teacher says, “they don’t know how to pay attention to class or to themselves or to another person or to look in each other’s eyes and see what is going on.

“It is as though they all have some signs of being on an Asperger’s spectrum. But that’s impossible. We are talking about a schoolwide problem.”

Can technology cause Asperger’

“It is not necessary to settle this debate to state the obvious. If we don’t look at our children and engage them in conversation, it is not surprising if they grow up awkward and withdrawn.”

In the protocols developed by Ivar Lovaas for treating autism spectrum disorder, every discrete trial in the therapy, every drill, every interaction with the child, however seemingly innocuous, is prefaced by this clear command: “Look at me!”

If absence of relationship is a defining feature of autism, connecting with the child is both the means and the whole goal of the therapy. Applied behavioral analysis does not concern itself with when exactly, how, or why a child becomes autistic, but tries instead to correct, do over, and even perhaps actually rewire what went wrong, by going back to the beginning

Eye contact—which we know is essential for brain development, emotional stability, and social fluency—is the indispensable prerequisite of the therapy, the sine qua non of everything that happens.

There are no shortcuts to this method; no medications or apps to speed things up; no machines that can do the work for us. This is work that only human beings can do

it must not only be started early and be sufficiently intensive, but it must also be carried out in large part by parents themselves. Parents must be trained and involved, so that the treatment carries over into the home and continues for most of the child’s waking hours.

there are foundational relationships that are templates for all other relationships, and for learning itself.

Maurice’s book, in other words, is not fundamentally the story of a child acquiring skills, though she acquires them perforce. It is the story of the restoration of a child’s relationship with her parents

it is also impossible to overstate the time and commitment that were required to bring it about, especially today, when we have so little time, and such a faltering, diminished capacity for sustained engagement with small children

The very qualities that such engagement requires, whether our children are sick or well, are the same qualities being bred out of us by technologies that condition us to crave stimulation and distraction, and by a culture that, through a perverse alchemy, has changed what was supposed to be the freedom to work anywhere into an obligation to work everywhere.

In this world of total work (the phrase is Josef Pieper’s), the work of helping another person become fully human may be work that is passing beyond our reach, as our priorities, and the technologies that enable and reinforce them, steadily unfit us for the work of raising our own young.

in Turkle’s book, as often as not, it is young people who are distressed because their parents are unreachable. Some of the most painful testimony in Reclaiming Conversation is the testimony of teenagers who hope to do things differently when they have children, who hope someday to learn to have a real conversation, and so o

it was an older generation that first fell under technology’s spell. At the middle school Turkle visits, as at many other schools across the country, it is the grown-ups who decide to give every child a computer and deliver all course content electronically, meaning that they require their students to work from the very medium that distracts them, a decision the grown-ups are unwilling to reverse, even as they lament its consequences.

we have approached what Turkle calls the robotic moment, when we will have made ourselves into the kind of people who are ready for what robots have to offer. When people give each other less, machines seem less inhuman.

robot babysitters may not seem so bad. The robots, at least, will be reliable!

If human conversations are endangered, what of prayer, a conversation like no other? All of the qualities that human conversation requires—patience and commitment, an ability to listen and a tolerance for aridity—prayer requires in greater measure.

this conversation—the Church exists to restore. Everything in the traditional Church is there to facilitate and nourish this relationship. Everything breathes, “Look at me!”

there is a second path to God, equally enjoined by the Church, and that is the way of charity to the neighbor, but not the neighbor in the abstract.

“Who is my neighbor?” a lawyer asks Jesus in the Gospel of Luke. Jesus’s answer is, the one you encounter on the way.

Virtue is either concrete or it is nothing. Man’s path to God, like Jesus’s path on the earth, always passes through what the Jesuit Jean Pierre de Caussade called “the sacrament of the present moment,” which we could equally call “the sacrament of the present person,” the way of the Incarnation, the way of humility, or the Way of the Cross.

The tradition of Zen Buddhism expresses the same idea in positive terms: Be here now.

Both of these privileged paths to God, equally dependent on a quality of undivided attention and real presence, are vulnerable to the distracting eye-candy of our technologies

Turkle is at pains to show that multitasking is a myth, that anyone trying to do more than one thing at a time is doing nothing well. We could also call what she was doing multi-relating, another temptation or illusion widespread in the digital age. Turkle’s book is full of people who are online at the same time that they are with friends, who are texting other potential partners while they are on dates, and so on.

This is the situation in which many people find themselves today: thinking that they are special to someone because of something that transpired, only to discover that the other person is spread so thin, the interaction was meaningless. There is a new kind of promiscuity in the world, in other words, that turns out to be as hurtful as the old kind.

Who can actually multitask and multi-relate? Who can love everyone without diluting or cheapening the quality of love given to each individual? Who can love everyone without fomenting insecurity and jealousy? Only God can do this.

When an individual needs to be healed of the effects of screens and machines, it is real presence that he needs: real people in a real world, ideally a world of God’s own making

Nature is restorative, but it is conversation itself, unfolding in real time, that strikes these boys with the force of revelation. More even than the physical vistas surrounding them on a wilderness hike, unrehearsed conversation opens up for them new territory, open-ended adventures. “It was like a stream,” one boy says, “very ongoing. It wouldn’t break apart.”

in the waters of baptism, the new man is born, restored to his true parent, and a conversation begins that over the course of his whole life reminds man of who he is, that he is loved, and that someone watches over him always.

Even if the Church could keep screens out of her sanctuaries, people strongly attached to them would still be people poorly positioned to take advantage of what the Church has to offer. Anxious people, unable to sit alone with their thoughts. Compulsive people, accustomed to checking their phones, on average, every five and a half minutes. As these behaviors increase in the Church, what is at stake is man’s relationship with truth itself.

Quintarelli says that the European Union’s General Data Protection Regulation, which takes effect on May 25, following six years of preparation and debate, “can serve as guidance in some aspects.

Under the GDPR, he notes, “non-compliant organizations can face heavy fines, up to 4% of their revenues.

Had the GDPR already been in place, Facebook, in order to avoid such fines, would have had to notify the authorities of the data leak as soon as the company became aware of it, well in advance of the last U.S. election.”

the GDPR should help, because it “introduces the concept of profile portability, whereby a user can move her profile from one service provider to another, like we do when porting our telephone profile — the mobile phone number — from one operator to another.”

Just as important is “interconnection: the operator to which we port our profile should be interconnected to the source operator so that we don’t lose contact with our online friends. This is possible today thanks to technologies like IPFS and Solid, developed by the web inventor Tim Berners-Lee.”

Spiekermann, a global authority on the trafficking of our online identities for purposes of targeted advertising, political propaganda, public and private surveillance, or other nefarious purposes, emphasizes the need to crack down on “personal data markets.”

“personal data markets have thrived on the idea that personal data might be the ‘new oil’ of the digital economy as well as — so it seems — of politics.”

“more than a thousand companies are now involved in a digital information value chain that harvests data from any online activity and delivers targeted content to online or mobile users within roughly 36 seconds of their entry into the digital realm.”

as a species, we are not doing nearly enough to avoid always being watched or otherwise digitally recorded.

our location, your purchases, video and audio from within your home and office, your online searches and every digital wandering, biometric tracking of your face and other body parts, your heart rate and other vital signs, your every communication, recording, and perhaps your deepest thoughts or idlest dreams

in the future, if not already, much of this data and more will be collected and analyzed by some combination of governments and corporations, among them a handful of megacompanies whose powers nearly match those of governments

Over the last year, as part of Times Opinion’s Privacy Project, I’ve participated in experiments in which my devices were closely monitored in order to determine the kind of data that was being collected about me.

I’ve realized how blind we are to the kinds of insights tech companies are gaining about us through our gadgets. Our blindness not only keeps us glued to privacy-invading tech

it also means that we’ve failed to create a political culture that is in any way up to the task of limiting surveillance.

few of our cultural or political institutions are even much trying to tamp down the surveillance state.

Yet the United States and other supposedly liberty-loving Western democracies have not ruled out such a future

like Barack Obama before him, Trump and the Justice Department are pushing Apple to create a backdoor into the data on encrypted iPhones — they want the untrustworthy F.B.I. and any local cop to be able to see everything inside anyone’s phone.

the fact that both Obama and Trump agreed on the need for breaking iPhone encryption suggests how thoroughly political leaders across a wide spectrum have neglected privacy as a fundamental value worthy of protection.

Americans are sleepwalking into a future nearly as frightening as the one the Chinese are constructing. I choose the word “sleepwalking” deliberately, because when it comes to digital privacy, a lot of us prefer the comfortable bliss of ignorance.

Among other revelations: Advertising companies and data brokers are keeping insanely close tabs on smartphones’ location data, tracking users so precisely that their databases could arguably compromise national security or political liberty.

Tracking technologies have become cheap and widely available — for less than $100, my colleagues were able to identify people walking by surveillance cameras in Bryant Park in Manhattan.

The Clearview AI story suggests another reason to worry that our march into surveillance has become inexorable: Each new privacy-invading technology builds on a previous one, allowing for scary outcomes from new integrations and collections of data that few users might have anticipated.

The upshot: As the location-tracking apps followed me, I was able to capture the pings they sent to online servers — essentially recording their spying

On the map, you can see the apps are essentially stalking me. They see me drive out one morning to the gas station, then to the produce store, then to Safeway; later on I passed by a music school, stopped at a restaurant, then Whole Foods.

But location was only one part of the data the companies had about me; because geographic data is often combined with other personal information — including a mobile advertising ID that can help merge what you see and do online with where you go in the real world — the story these companies can tell about me is actually far more detailed than I can tell about myself.

I can longer pretend I’ve got nothing to worry about. Sure, I’m not a criminal — but do I want anyone to learn everything about me?

more to the point: Is it wise for us to let any entity learn everything about everyone?

The remaining uncertainty about the surveillance state is not whether we will submit to it — only how readily and completely, and how thoroughly it will warp our society.

Will we allow the government and corporations unrestricted access to every bit of data we ever generate, or will we decide that some kinds of collections, like the encrypted data on your phone, should be forever off limits, even when a judge has issued a warrant for it?

In the future, will there be room for any true secret — will society allow any unrecorded thought or communication to evade detection and commercial analysis?

How completely will living under surveillance numb creativity and silence radical thought?

Can human agency survive the possibility that some companies will know more about all of us than any of us can ever know about ourselves?

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.

Accelerationists favour automation. They favour the further merging of the digital and the human. They often favour the deregulation of business, and drastically scaled-back government. They believe that people should stop deluding themselves that economic and technological progress can be controlled.

Accelerationism, therefore, goes against conservatism, traditional socialism, social democracy, environmentalism, protectionism, populism, nationalism, localism and all the other ideologies that have sought to moderate or reverse the already hugely disruptive, seemingly runaway pace of change in the modern world

Robin Mackay and Armen Avanessian in their introduction to #Accelerate: The Accelerationist Reader, a sometimes baffling, sometimes exhilarating book, published in 2014, which remains the only proper guide to the movement in existence.

“We all live in an operating system set up by the accelerating triad of war, capitalism and emergent AI,” says Steve Goodman, a British accelerationist

A century ago, the writers and artists of the Italian futurist movement fell in love with the machines of the industrial era and their apparent ability to invigorate society. Many futurists followed this fascination into war-mongering and fascism.

One of the central figures of accelerationism is the British philosopher Nick Land, who taught at Warwick University in the 1990s

Land has published prolifically on the internet, not always under his own name, about the supposed obsolescence of western democracy; he has also written approvingly about “human biodiversity” and “capitalistic human sorting” – the pseudoscientific idea, currently popular on the far right, that different races “naturally” fare differently in the modern world; and about the supposedly inevitable “disintegration of the human species” when artificial intelligence improves sufficiently.

In our politically febrile times, the impatient, intemperate, possibly revolutionary ideas of accelerationism feel relevant, or at least intriguing, as never before. Noys says: “Accelerationists always seem to have an answer. If capitalism is going fast, they say it needs to go faster. If capitalism hits a bump in the road, and slows down” – as it has since the 2008 financial crisis – “they say it needs to be kickstarted.”

On alt-right blogs, Land in particular has become a name to conjure with. Commenters have excitedly noted the connections between some of his ideas and the thinking of both the libertarian Silicon Valley billionaire Peter Thiel and Trump’s iconoclastic strategist Steve Bannon.

“In Silicon Valley,” says Fred Turner, a leading historian of America’s digital industries, “accelerationism is part of a whole movement which is saying, we don’t need [conventional] politics any more, we can get rid of ‘left’ and ‘right’, if we just get technology right. Accelerationism also fits with how electronic devices are marketed – the promise that, finally, they will help us leave the material world, all the mess of the physical, far behind.”

In 1972, the philosopher Gilles Deleuze and the psychoanalyst Félix Guattari published Anti-Oedipus. It was a restless, sprawling, appealingly ambiguous book, which suggested that, rather than simply oppose capitalism, the left should acknowledge its ability to liberate as well as oppress people, and should seek to strengthen these anarchic tendencies, “to go still further … in the movement of the market … to ‘accelerate the process’”.

By the early 90s Land had distilled his reading, which included Deleuze and Guattari and Lyotard, into a set of ideas and a writing style that, to his students at least, were visionary and thrillingly dangerous. Land wrote in 1992 that capitalism had never been properly unleashed, but instead had always been held back by politics, “the last great sentimental indulgence of mankind”. He dismissed Europe as a sclerotic, increasingly marginal place, “the racial trash-can of Asia”. And he saw civilisation everywhere accelerating towards an apocalypse: “Disorder must increase... Any [human] organisation is ... a mere ... detour in the inexorable death-flow.”

With the internet becoming part of everyday life for the first time, and capitalism seemingly triumphant after the collapse of communism in 1989, a belief that the future would be almost entirely shaped by computers and globalisation – the accelerated “movement of the market” that Deleuze and Guattari had called for two decades earlier – spread across British and American academia and politics during the 90s. The Warwick accelerationists were in the vanguard.

In the US, confident, rainbow-coloured magazines such as Wired promoted what became known as “the Californian ideology”: the optimistic claim that human potential would be unlocked everywhere by digital technology. In Britain, this optimism influenced New Labour

The Warwick accelerationists saw themselves as participants, not traditional academic observers

The CCRU gang formed reading groups and set up conferences and journals. They squeezed into the narrow CCRU room in the philosophy department and gave each other impromptu seminars.

The main result of the CCRU’s frantic, promiscuous research was a conveyor belt of cryptic articles, crammed with invented terms, sometimes speculative to the point of being fiction.

At Warwick, however, the prophecies were darker. “One of our motives,” says Plant, “was precisely to undermine the cheery utopianism of the 90s, much of which seemed very conservative” – an old-fashioned male desire for salvation through gadgets, in her view.

K-punk was written by Mark Fisher, formerly of the CCRU. The blog retained some Warwick traits, such as quoting reverently from Deleuze and Guattari, but it gradually shed the CCRU’s aggressive rhetoric and pro-capitalist politics for a more forgiving, more left-leaning take on modernity. Fisher increasingly felt that capitalism was a disappointment to accelerationists, with its cautious, entrenched corporations and endless cycles of essentially the same products. But he was also impatient with the left, which he thought was ignoring new technology

lex Williams, co-wrote a Manifesto for an Accelerationist Politics. “Capitalism has begun to constrain the productive forces of technology,” they wrote. “[Our version of] accelerationism is the basic belief that these capacities can and should be let loose … repurposed towards common ends … towards an alternative modernity.”

What that “alternative modernity” might be was barely, but seductively, sketched out, with fleeting references to reduced working hours, to technology being used to reduce social conflict rather than exacerbate it, and to humanity moving “beyond the limitations of the earth and our own immediate bodily forms”. On politics and philosophy blogs from Britain to the US and Italy, the notion spread that Srnicek and Williams had founded a new political philosophy: “left accelerationism”.

Two years later, in 2015, they expanded the manifesto into a slightly more concrete book, Inventing the Future. It argued for an economy based as far as possible on automation, with the jobs, working hours and wages lost replaced by a universal basic income. The book attracted more attention than a speculative leftwing work had for years, with interest and praise from intellectually curious leftists

Even the thinking of the arch-accelerationist Nick Land, who is 55 now, may be slowing down. Since 2013, he has become a guru for the US-based far-right movement neoreaction, or NRx as it often calls itself. Neoreactionaries believe in the replacement of modern nation-states, democracy and government bureaucracies by authoritarian city states, which on neoreaction blogs sound as much like idealised medieval kingdoms as they do modern enclaves such as Singapore.

Land argues now that neoreaction, like Trump and Brexit, is something that accelerationists should support, in order to hasten the end of the status quo.

In 1970, the American writer Alvin Toffler, an exponent of accelerationism’s more playful intellectual cousin, futurology, published Future Shock, a book about the possibilities and dangers of new technology. Toffler predicted the imminent arrival of artificial intelligence, cryonics, cloning and robots working behind airline check-in desks

Land left Britain. He moved to Taiwan “early in the new millennium”, he told me, then to Shanghai “a couple of years later”. He still lives there now.

In a 2004 article for the Shanghai Star, an English-language paper, he described the modern Chinese fusion of Marxism and capitalism as “the greatest political engine of social and economic development the world has ever known”

Once he lived there, Land told me, he realised that “to a massive degree” China was already an accelerationist society: fixated by the future and changing at speed. Presented with the sweeping projects of the Chinese state, his previous, libertarian contempt for the capabilities of governments fell away

Without a dynamic capitalism to feed off, as Deleuze and Guattari had in the early 70s, and the Warwick philosophers had in the 90s, it may be that accelerationism just races up blind alleys. In his 2014 book about the movement, Malign Velocities, Benjamin Noys accuses it of offering “false” solutions to current technological and economic dilemmas. With accelerationism, he writes, a breakthrough to a better future is “always promised and always just out of reach”.

“The pace of change accelerates,” concluded a documentary version of the book, with a slightly hammy voiceover by Orson Welles. “We are living through one of the greatest revolutions in history – the birth of a new civilisation.”

Shortly afterwards, the 1973 oil crisis struck. World capitalism did not accelerate again for almost a decade. For much of the “new civilisation” Toffler promised, we are still waiting

She took pride in the basic things, like cleaning engine parts. And she only hinted at the truth: When one fan told her in October, “It’s great to be young,” Soya replied, “Youth does not mean a certain period of life, but how to hold your heart.”

She seemed, well, happy, and FaceApp had made her that way. Creating the lifelike impostor had taken only a few taps: He changed the “Gender” setting to “Female,” the “Age” setting to “Teen,” and the “Impression” setting — a mix of makeup filters — to a glamorous look the app calls “Hollywood.”

Soya pouted and scowled on rare occasions when Nakajima himself felt frustrated. But her baseline expression was an extra-wide smile, activated with a single tap.

Nakajima grew his shimmering hair below his shoulders and raided his local convenience store for beauty supplies he thought would make the FaceApp images more convincing: blushes, eyeliners, concealers, shampoos.

“When I compare how I feel when I started to tweet as a woman and now, I do feel that I’m gradually gravitating toward this persona … this fantasy world that I created,” Nakajima said. “When I see photos of what I tweeted, I feel like, ‘Oh. That’s me.’ ”

The sensation Nakajima was feeling is so common that there’s a term for it: the Proteus effect, named for the shape-shifting Greek god. Stanford University researchers first coined it in 2007 to describe how people inhabiting the body of a digital avatar began to act the part

People made to appear taller in virtual-reality simulations acted more assertively, even after the experience ended. Prettier characters began to flirt.

What is it about online disguises? Why are they so good at bending people’s sense of self-perception?

they tap into this “very human impulse to play with identity and pretend to be someone you’re not.”

Users in the Internet’s early days rarely had any presumptions of authenticity, said Melanie C. Green, a University of Buffalo professor who studies technology and social trust. Most people assumed everyone else was playing a character clearly distinguished from their real life.

“This identity play was considered one of the huge advantages of being online,” Green said. “You could switch your gender and try on all of these different personas. It was a playground for people to explore.”

It wasn’t until the rise of giant social networks like Facebook — which used real identities to, among other things, supercharge targeted advertising — that this big game of pretend gained an air of duplicity. Spaces for playful performance shrank, and the biggest Internet watering holes began demanding proof of authenticity as a way to block out malicious intent.

The Web’s big shift from text to visuals — the rise of photo-sharing apps, live streams and video calls — seemed at first to make that unspoken rule of real identities concrete. It seemed too difficult to fake one’s appearance when everyone’s face was on constant display.

Now, researchers argue, advances in image-editing artificial intelligence have done for the modern Internet what online pseudonyms did for the world’s first chat rooms. Facial filters have allowed anyone to mold themselves into the character they want to play.

researchers fear these augmented reality tools could end up distorting the beauty standards and expectations of actual reality.

Some political and tech theorists worry this new world of synthetic media threatens to detonate our concept of truth, eroding our shared experiences and infusing every online relationship with suspicion and self-doubt.

Deceptive political memes, conspiracy theories, anti-vaccine hoaxes and other scams have torn the fabric of our democracy, culture and public health.

But she also thinks about her kids, who assume “that everything online is fabricated,” and wonders whether the rules of online identity require a bit more nuance — and whether that generational shift is already underway.

“Bots pretending to be people, automated representations of humanity — that, they perceive as exploitative,” she said. “But if it’s just someone engaging in identity experimentation, they’re like: ‘Yeah, that’s what we’re all doing.'

To their generation, “authenticity is not about: ‘Does your profile picture match your real face?’ Authenticity is: ‘Is your voice your voice?’

“Their feeling is: ‘The ideas are mine. The voice is mine. The content is mine. I’m just looking for you to receive it without all the assumptions and baggage that comes with it.’ That’s the essence of a person’s identity. That’s who they really are.”

But wasn’t this all just a big con? Nakajima had tricked people with a “cool girl” stereotype to boost his Twitter numbers. He hadn’t elevated the role of women in motorcycling; if anything, he’d supplanted them. And the character he’d created was paper thin: Soya had no internal complexity outside of what Nakajima had projected, just that eternally superimposed smile.

Perhaps he should have accepted his irrelevance and faded into the digital sunset, sharing his life for few to see. But some of Soya’s followers have said they never felt deceived: It was Nakajima — his enthusiasm, his attitude about life — they’d been charmed by all along. “His personality,” as one Twitter follower said, “shined through.”

In Nakajima’s mind, he’d used the tools of a superficial medium to craft genuine connections. He had not felt real until he had become noticed for being fake.

Nakajima said he doesn’t know how long he’ll keep Soya alive. But he said he’s grateful for the way she helped him feel: carefree, adventurous, seen.

By removing the tangible product from the center of commerce, surveillance capitalism upsets the equilibrium. Whenever we use free apps and online services, it’s often said, we become the products, our attention harvested and sold to advertisers

this truism gets it wrong. Surveillance capitalism’s real products, vaporous but immensely valuable, are predictions about our future behavior — what we’ll look at, where we’ll go, what we’ll buy, what opinions we’ll hold — that internet companies derive from our personal data and sell to businesses, political operatives, and other bidders.

Unlike financial derivatives, which they in some ways resemble, these new data derivatives draw their value, parasite-like, from human experience.To the Googles and Facebooks of the world, we are neither the customer nor the product. We are the source of what Silicon Valley technologists call “data exhaust” — the informational byproducts of online activity that become the inputs to prediction algorithms

Another 2015 study, appearing in the Journal of Computer-Mediated Communication, showed that when people hear their phone ring but are unable to answer it, their blood pressure spikes, their pulse quickens, and their problem-solving skills decline.

The smartphone has become a repository of the self, recording and dispensing the words, sounds and images that define what we think, what we experience and who we are. In a 2015 Gallup survey, more than half of iPhone owners said that they couldn’t imagine life without the device.

So what happens to our minds when we allow a single tool such dominion over our perception and cognition?

Not only do our phones shape our thoughts in deep and complicated ways, but the effects persist even when we aren’t using the devices. As the brain grows dependent on the technology, the research suggests, the intellect weakens.

he has seen mounting evidence that using a smartphone, or even hearing one ring or vibrate, produces a welter of distractions that makes it harder to concentrate on a difficult problem or job. The division of attention impedes reasoning and performance.

internet companies operate in what Zuboff terms “extreme structural independence from people.” When databases displace goods as the engine of the economy, our own interests, as consumers but also as citizens, cease to be part of the negotiation. We are no longer one of the forces guiding the market’s invisible hand. We are the objects of surveillance and control.

Social skills and relationships seem to suffer as well.

In both tests, the subjects whose phones were in view posted the worst scores, while those who left their phones in a different room did the best. The students who kept their phones in their pockets or bags came out in the middle. As the phone’s proximity increased, brainpower decreased.

In subsequent interviews, nearly all the participants said that their phones hadn’t been a distraction—that they hadn’t even thought about the devices during the experiment. They remained oblivious even as the phones disrupted their focus and thinking.

The researchers recruited 520 undergraduates at UCSD and gave them two standard tests of intellectual acuity. One test gauged “available working-memory capacity,” a measure of how fully a person’s mind can focus on a particular task. The second assessed “fluid intelligence,” a person’s ability to interpret and solve an unfamiliar problem. The only variable in the experiment was the location of the subjects’ smartphones. Some of the students were asked to place their phones in front of them on their desks; others were told to stow their phones in their pockets or handbags; still others were required to leave their phones in a different room.

the “integration of smartphones into daily life” appears to cause a “brain drain” that can diminish such vital mental skills as “learning, logical reasoning, abstract thought, problem solving, and creativity.”

 Smartphones have become so entangled with our existence that, even when we’re not peering or pawing at them, they tug at our attention, diverting precious cognitive resources. Just suppressing the desire to check our phone, which we do routinely and subconsciously throughout the day, can debilitate our thinking.

They found that students who didn’t bring their phones to the classroom scored a full letter-grade higher on a test of the material presented than those who brought their phones. It didn’t matter whether the students who had their phones used them or not: All of them scored equally poorly.

A study of nearly a hundred secondary schools in the U.K., published last year in the journal Labour Economics, found that when schools ban smartphones, students’ examination scores go up substantially, with the weakest students benefiting the most.

Data, the novelist and critic Cynthia Ozick once wrote, is “memory without history.” Her observation points to the problem with allowing smartphones to commandeer our brains

Because smartphones serve as constant reminders of all the friends we could be chatting with electronically, they pull at our minds when we’re talking with people in person, leaving our conversations shallower and less satisfying.

In a 2013 study conducted at the University of Essex in England, 142 participants were divided into pairs and asked to converse in private for ten minutes. Half talked with a phone in the room, half without a phone present. The subjects were then given tests of affinity, trust and empathy. “The mere presence of mobile phones,” the researchers reported in the Journal of Social and Personal Relationships, “inhibited the development of interpersonal closeness and trust” and diminished “the extent to which individuals felt empathy and understanding from their partners.”

The evidence that our phones can get inside our heads so forcefully is unsettling. It suggests that our thoughts and feelings, far from being sequestered in our skulls, can be skewed by external forces we’re not even aware o

 Scientists have long known that the brain is a monitoring system as well as a thinking system. Its attention is drawn toward any object that is new, intriguing or otherwise striking — that has, in the psychological jargon, “salience.”

even in the history of captivating media, the smartphone stands out. It is an attention magnet unlike any our minds have had to grapple with before. Because the phone is packed with so many forms of information and so many useful and entertaining functions, it acts as what Dr. Ward calls a “supernormal stimulus,” one that can “hijack” attention whenever it is part of our surroundings — and it is always part of our surroundings.

Imagine combining a mailbox, a newspaper, a TV, a radio, a photo album, a public library and a boisterous party attended by everyone you know, and then compressing them all into a single, small, radiant object. That is what a smartphone represents to us. No wonder we can’t take our minds off it.

The irony of the smartphone is that the qualities that make it so appealing to us — its constant connection to the net, its multiplicity of apps, its responsiveness, its portability — are the very ones that give it such sway over our minds.

Phone makers like Apple and Samsung and app writers like Facebook, Google and Snap design their products to consume as much of our attention as possible during every one of our waking hours

Social media apps were designed to exploit “a vulnerability in human psychology,” former Facebook president Sean Parker said in a recent interview. “[We] understood this consciously. And we did it anyway.”

A quarter-century ago, when we first started going online, we took it on faith that the web would make us smarter: More information would breed sharper thinking. We now know it’s not that simple.

As strange as it might seem, people’s knowledge and understanding may actually dwindle as gadgets grant them easier access to online data stores

In a seminal 2011 study published in Science, a team of researchers — led by the Columbia University psychologist Betsy Sparrow and including the late Harvard memory expert Daniel Wegner — had a group of volunteers read forty brief, factual statements (such as “The space shuttle Columbia disintegrated during re-entry over Texas in Feb. 2003”) and then type the statements into a computer. Half the people were told that the machine would save what they typed; half were told that the statements would be erased.

Afterward, the researchers asked the subjects to write down as many of the statements as they could remember. Those who believed that the facts had been recorded in the computer demonstrated much weaker recall than those who assumed the facts wouldn’t be stored. Anticipating that information would be readily available in digital form seemed to reduce the mental effort that people made to remember it

The researchers dubbed this phenomenon the “Google effect” and noted its broad implications: “Because search engines are continually available to us, we may often be in a state of not feeling we need to encode the information internally. When we need it, we will look it up.”

as the pioneering psychologist and philosopher William James said in an 1892 lecture, “the art of remembering is the art of thinking.”

Only by encoding information in our biological memory can we weave the rich intellectual associations that form the essence of personal knowledge and give rise to critical and conceptual thinking. No matter how much information swirls around us, the less well-stocked our memory, the less we have to think with.

As Dr. Wegner and Dr. Ward explained in a 2013 Scientific American article, when people call up information through their devices, they often end up suffering from delusions of intelligence. They feel as though “their own mental capacities” had generated the information, not their devices. “The advent of the ‘information age’ seems to have created a generation of people who feel they know more than ever before,” the scholars concluded, even though “they may know ever less about the world around them.”

That insight sheds light on society’s current gullibility crisis, in which people are all too quick to credit lies and half-truths spread through social media. If your phone has sapped your powers of discernment, you’ll believe anything it tells you.

A second experiment conducted by the researchers produced similar results, while also revealing that the more heavily students relied on their phones in their everyday lives, the greater the cognitive penalty they suffered.

When we constrict our capacity for reasoning and recall or transfer those skills to a gadget, we sacrifice our ability to turn information into knowledge. We get the data but lose the meaning

We need to give our minds more room to think. And that means putting some distance between ourselves and our phones.

Google’s once-patient investors grew restive, demanding that the founders figure out a way to make money, preferably lots of it.

nder pressure, Page and Brin authorized the launch of an auction system for selling advertisements tied to search queries. The system was designed so that the company would get paid by an advertiser only when a user clicked on an ad. This feature gave Google a huge financial incentive to make accurate predictions about how users would respond to ads and other online content. Even tiny increases in click rates would bring big gains in income. And so the company began deploying its stores of behavioral data not for the benefit of users but to aid advertisers — and to juice its own profits. Surveillance capitalism had arrived.

Google’s business now hinged on what Zuboff calls “the extraction imperative.” To improve its predictions, it had to mine as much information as possible from web users. It aggressively expanded its online services to widen the scope of its surveillance.

Through Gmail, it secured access to the contents of people’s emails and address books. Through Google Maps, it gained a bead on people’s whereabouts and movements. Through Google Calendar, it learned what people were doing at different moments during the day and whom they were doing it with. Through Google News, it got a readout of people’s interests and political leanings. Through Google Shopping, it opened a window onto people’s wish lists,

The company gave all these services away for free to ensure they’d be used by as many people as possible. It knew the money lay in the data.

the organization grew insular and secretive. Seeking to keep the true nature of its work from the public, it adopted what its CEO at the time, Eric Schmidt, called a “hiding strategy” — a kind of corporate omerta backed up by stringent nondisclosure agreements.

Page and Brin further shielded themselves from outside oversight by establishing a stock structure that guaranteed their power could never be challenged, neither by investors nor by directors.

What’s most remarkable about the birth of surveillance capitalism is the speed and audacity with which Google overturned social conventions and norms about data and privacy. Without permission, without compensation, and with little in the way of resistance, the company seized and declared ownership over everyone’s information

The companies that followed Google presumed that they too had an unfettered right to collect, parse, and sell personal data in pretty much any way they pleased. In the smart homes being built today, it’s understood that any and all data will be beamed up to corporate clouds.

Google conducted its great data heist under the cover of novelty. The web was an exciting frontier — something new in the world — and few people understood or cared about what they were revealing as they searched and surfed. In those innocent days, data was there for the taking, and Google took it

Google also benefited from decisions made by lawmakers, regulators, and judges — decisions that granted internet companies free use of a vast taxpayer-funded communication infrastructure, relieved them of legal and ethical responsibility for the information and messages they distributed, and gave them carte blanche to collect and exploit user data.

Consider the terms-of-service agreements that govern the division of rights and the delegation of ownership online. Non-negotiable, subject to emendation and extension at the company’s whim, and requiring only a casual click to bind the user, TOS agreements are parodies of contracts, yet they have been granted legal legitimacy by the court

Law professors, writes Zuboff, “call these ‘contracts of adhesion’ because they impose take-it-or-leave-it conditions on users that stick to them whether they like it or not.” Fundamentally undemocratic, the ubiquitous agreements helped Google and other firms commandeer personal data as if by fiat.

n the choices we make as consumers and private citizens, we have always traded some of our autonomy to gain other rewards. Many people, it seems clear, experience surveillance capitalism less as a prison, where their agency is restricted in a noxious way, than as an all-inclusive resort, where their agency is restricted in a pleasing way

Zuboff makes a convincing case that this is a short-sighted and dangerous view — that the bargain we’ve struck with the internet giants is a Faustian one

but her case would have been stronger still had she more fully addressed the benefits side of the ledger.

there’s a piece missing. While Zuboff’s assessment of the costs that people incur under surveillance capitalism is exhaustive, she largely ignores the benefits people receive in return — convenience, customization, savings, entertainment, social connection, and so on

hat the industries of the future will seek to manufacture is the self.

Behavior modification is the thread that ties today’s search engines, social networks, and smartphone trackers to tomorrow’s facial-recognition systems, emotion-detection sensors, and artificial-intelligence bots.

All of Facebook’s information wrangling and algorithmic fine-tuning, she writes, “is aimed at solving one problem: how and when to intervene in the state of play that is your daily life in order to modify your behavior and thus sharply increase the predictability of your actions now, soon, and later.”

“The goal of everything we do is to change people’s actual behavior at scale,” a top Silicon Valley data scientist told her in an interview. “We can test how actionable our cues are for them and how profitable certain behaviors are for us.”

This goal, she suggests, is not limited to Facebook. It is coming to guide much of the economy, as financial and social power shifts to the surveillance capitalists

Combining rich information on individuals’ behavioral triggers with the ability to deliver precisely tailored and timed messages turns out to be a recipe for behavior modification on an unprecedented scale.

it was Facebook, with its incredibly detailed data on people’s social lives, that grasped digital media’s full potential for behavior modification. By using what it called its “social graph” to map the intentions, desires, and interactions of literally billions of individuals, it saw that it could turn its network into a worldwide Skinner box, employing psychological triggers and rewards to program not only what people see but how they react.

spying on the populace is not the end game. The real prize lies in figuring out ways to use the data to shape how people think and act. “The best way to predict the future is to invent it,” the computer scientist Alan Kay once observed. And the best way to predict behavior is to script it.

competition for personal data intensified. It was no longer enough to monitor people online; making better predictions required that surveillance be extended into homes, stores, schools, workplaces, and the public squares of cities and towns. Much of the recent innovation in the tech industry has entailed the creation of products and services designed to vacuum up data from every corner of our lives

“The typical complaint is that privacy is eroded, but that is misleading,” Zuboff writes. “In the larger societal pattern, privacy is not eroded but redistributed . . . . Instead of people having the rights to decide how and what they will disclose, these rights are concentrated within the domain of surveillance capitalism.” The transfer of decision rights is also a transfer of autonomy and agency, from the citizen to the corporation.

What we lose under this regime is something more fundamental than privacy. It’s the right to make our own decisions about privacy — to draw our own lines between those aspects of our lives we are comfortable sharing and those we are not

Other possible ways of organizing online markets, such as through paid subscriptions for apps and services, never even got a chance to be tested.

Online surveillance came to be viewed as normal and even necessary by politicians, government bureaucrats, and the general public

Google and other Silicon Valley companies benefited directly from the government’s new stress on digital surveillance. They earned millions through contracts to share their data collection and analysis techniques with the National Security Agenc

As much as the dot-com crash, the horrors of 9/11 set the stage for the rise of surveillance capitalism. Zuboff notes that, in 2000, members of the Federal Trade Commission, frustrated by internet companies’ lack of progress in adopting privacy protections, began formulating legislation to secure people’s control over their online information and severely restrict the companies’ ability to collect and store it. It seemed obvious to the regulators that ownership of personal data should by default lie in the hands of private citizens, not corporations.

The 9/11 attacks changed the calculus. The centralized collection and analysis of online data, on a vast scale, came to be seen as essential to national security. “The privacy provisions debated just months earlier vanished from the conversation more or less overnight,”

The C.D.C. changed its tune in April, advising all Americans above the age of 2 to wear masks to slow the spread of the coronavirus. Michael Basso, a senior health scientist at the agency who had been pushing internally to recommend masks, told me Ms. Tufekci’s public criticism of the agency was the “tipping point.”

Ms. Tufekci, a 40-something who speaks a mile a minute with a light Turkish accent, has none of the trappings of the celebrity academic or the professional pundit. But long before she became perhaps the only good amateur epidemiologist, she had quietly made a habit of being right on the big things.

In 2011, she went against the current to say the case for Twitter as a driver of broad social movements had been oversimplified. In 2012, she warned news media outlets that their coverage of school shootings could inspire more. In 2013, she argued that Facebook could fuel ethnic cleansing. In 2017, she warned that YouTube’s recommendation algorithm could be used as a tool of radicalization.

And when it came to the pandemic, she sounded the alarm early while also fighting to keep parks and beaches open.

“I’ve just been struck by how right she has been,” said Julia Marcus, an infectious disease epidemiologist at Harvard Medical School.

She told me she chalks up her habits of mind in part to a childhood she wouldn’t wish on anyone.

Mr. Goff was enthusing about the campaign’s ability to send different messages to individual voters based on the digital data it had gathered about them. Ms. Tufekci quickly objected to the practice, saying that microtargeting would more likely be used to sow division.

An international point of view she picked up while bouncing as a child between Turkey and Belgium and then working in the United States.

Knowledge that spans subject areas and academic disciplines, which she happened onto as a computer programmer who got into sociology.

A habit of complex, systems-based thinking, which led her to a tough critique in The Atlantic of America’s news media in the run-up to the pandemic

it began, she says, with growing up in an unhappy home in Istanbul. She said her alcoholic mother was liable to toss her into the street in the early hours of the morning. She found some solace in science fiction — Ursula K. Le Guin was a favorite — and in the optimistic, early internet.

Perhaps because of a kind of egalitarian nerd ideology that has served her well, she never sought to meet the rebels’ charismatic leader, known as Subcomandante Marcos.

“I have a thing that fame and charisma screws with your head,” she said. “I’ve made an enormous effort throughout my life to preserve my thinking.”

While many American thinkers were wide-eyed about the revolutionary potential of social media, she developed a more complex view, one she expressed when she found herself sitting to the left of Teddy Goff, the digital director for President Obama’s re-election campaign, at a South by Southwest panel in Austin in 2012

“A bunch of things came together, which I’m happy I survived,” she said, sitting outside a brick house she rents for $2,300 a month in Chapel Hill, N.C., where she is raising her 11-year-old son as a single parent. “But the way they came together was not super happy, when it was happening.”

“At a time when everybody was being stupidly optimistic about the potential of the internet, she didn’t buy the hype,” he told me. “She was very prescient in seeing that there would be a deeper rot to the role of data-driven politics in our world.”

Many tech journalists, entranced by the internet-fueled movements sweeping the globe, were slow to spot the ways they might fail, or how social media could be used against them. Ms. Tufekci, though, had “seen movement after movement falter because of a lack of organizational depth and experience, of tools or culture for collective decision making, and strategic, long-term action,” she wrote in her 2017 book, “Twitter and Tear Gas.”

One of the things that makes Ms. Tufekci stand out in this gloomy moment is her lack of irony or world-weariness. She is not a prophet of doom, having hung on to an early-internet optimism

Ms. Tufekci has taught epidemiology as a way to introduce her students to globalization and to make a point about human nature: Politicians and the news media often expect looting and crime when disaster strikes, as they did when Hurricane Katrina hit New Orleans in 2005. But the reality on the ground has more to do with communal acts of generosity and kindness, she believes.

Her March column on masks was among the most influential The Times has published, although — or perhaps because —  it lacked the political edge that brings wide attention to an opinion piece.

“The real question is not whether Zuck is doing what I like or not,” she said. “The real question is why he’s getting to decide what hate speech is.”

She also suggested that we may get it wrong when we focus on individuals — on chief executives, on social media activists like her. The probable answer to a media environment that amplifies false reports and hate speech, she believes, is the return of functional governments, along with the birth of a new framework, however imperfect, that will hold the digital platforms responsible for what they host.

The tech leaders question claims by crypto evangelists that “crypto-assets are an innovative technology that is unreservedly good” and instead urge lawmakers to “take a critical, skeptical approach” toward crypto.

digital token bitcoin taking up a $562 billion chunk alone.