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"When Google's algorithms result in men on the Internet seeing better-paying job advertisements than women, it's worth looking under the hood at the assumptions that the algorithms, and the people behind it, have made. "

"But the answer to how he was chosen is actually an algorithm, a computer program that crunched through reams of data, looking at how much each passenger had paid for their ticket, what time they checked in, how often they flew on United, and whether they were part of a rewards program. The algorithm likely determined that Dr. Dao was one of the least valuable customers on the flight at the time."

"Algorithms and the data that drive them are designed and created by people, which means those systems can carry biases based on who builds them and how they're ultimately deployed. Safiya Umoja Noble, author of Algorithms of Oppression: How Search Engines Reinforce Racism, offers a curated reading list exploring how technology can replicate and reinforce racist and sexist beliefs, how that bias can affect everything from health outcomes to financial credit to criminal justice, and why data discrimination is a major 21st century challenge."

"It's not that Google wants to do this, it's that they didn't anticipate this outcome, and compounded that omission by likewise omitting a way to overrule the algorithm's judgment. As with other examples of algorithmic cruelty, it's not so much this specific example as was it presages for a future in which more and more of our external reality is determined by models derived from machine learning systems whose workings we're not privy to and have no say in. "

"There's an increasingly popular solution to this problem: why not let an intelligent algorithm make hiring decisions for you? Surely, the thinking goes, a computer is more able to be impartial than a person, and can simply look at the relevant data vectors to select the most qualified people from a heap of applications, removing human bias and making the process more efficient to boot."

"built an algorithm that can determine with 90 percent accuracy whether a person is drunk or not based on an infrared image of his or her face."

"A new algorithm, however, is attempting to identify specific syndromes much sooner by screening photos for characteristic facial features associated with specific genetic conditions, such as Down's syndrome, Progeria, and Fragile X syndrome."

"Brain scans, however, are quite telling, especially when analyzed with an algorithm, Brent and his colleagues discovered. "We're trying to figure out what's going on in somebody's brain when they're thinking about suicide," says Brent.  These scans, taken using fMRI, or functional magnetic resonance imaging, show that strong words such as 'death,' 'trouble,' 'carefree,' and 'praise,' trigger different patterns of brain activity in people who are suicidal, compared with people who are not. That means that people at risk of suicide think about those concepts differently than everyone else-evidenced by the levels and patterns of brain activity, or neural signatures."

"But the documents show that the company relies heavily on the intervention of a small editorial team to determine what makes its "trending module" headlines - the list of news topics that shows up on the side of the browser window on Facebook's desktop version. The company backed away from a pure-algorithm approach in 2014 after criticism that it had not included enough coverage of unrest in Ferguson, Missouri, in users' feeds."

"computer programs can accelerate discovery in the sciences faster than scientists can, if the computer is trained to behave like one"

"For now, however, Hammond tries to reassure journalists that he's not trying to kick them when they're down. He tells a story about a party he attended with his wife, who's the marketing director at Chicago's fabled Second City improv club. He found himself in conversation with a well-known local theater critic, who asked about Hammond's business. As Hammond explained what he did, the critic became agitated. Times are tough enough in journalism, he said, and now you're going to replace writers with robots? "I just looked at him," Hammond recalls, "and asked him: Have you ever seen a reporter at a Little League game? That's the most important thing about us. Nobody has lost a single job because of us.""

"Uber knows when your phone battery is running low because its app collects that information in order to switch into power-saving mode. But Chen swears Uber would never use that knowledge to gouge you out of more money. "We absolutely don't use that to kind of like push you a higher surge price, but it's an interesting kind of psychological fact of human behavior," Chen said. Uber's surge pricing uses a proprietary algorithm that accounts for how many users are hailing rides in an area at a given time. Customers are apparently less willing to believe that when the multiplier is a round number like 2.0 or 3.0, which seems more like it could have been arbitrarily made up by a human."

"Amazon's algorithms encourage customers pay more than they need to for popular products and appear to give more prominence to items that benefit the retail giant, according to an investigation by ProPublica. The investigation looked at 250 frequently purchased products over several weeks to see which ones were chosen to appear in the highly-prized "buy box" that pops up first as a suggested purchase. "

"How can you sort the books quickly? Chand John shows how, shedding light on how algorithms help librarians and search engines speedily sort information."

"This algorithm uses a recurrent neural network to predict sound features from videos and then produces a waveform from these features with an example-based synthesis procedure. We show that the sounds predicted by our model are realistic enough to fool participants in a "real or fake" psychophysical experiment, and that they convey significant information about material properties and physical interactions."

"What you may not realize, though, is that machine learning is already all around you, and it can exert a surprising degree of influence over your life. Don't believe me? You might be surprised."

"Twitter claims a 90 percent accuracy rate for the clever techniques it uses to learn the gender of any given user. Glenn Fleishman reports on a the company's disconcerting new analytics tools, the research behind them, and how large a pinch of salt they come with."

"With all the information together, they created a prediction model which can guess with 80% accuracy whether or not that user will go on to be banned from just their first five posts. "

""Could teaching be trumped by a learning machine? Are we beginning to glimpse the possibility of machines that teach themselves to teach? They learn what works, what doesn't and deliver ever better performance. We see the embryonic evidence for this in adaptive learning systems, that are truly algorithmic, and do use machine learning, to improve as they deliver. The more students they teach, the better they get. They even tech themselves. This is not science fiction. This is real AI, in real software, delivering real courses, in real institutions." - Donald Clark"

"Facebook announced late Friday that it had eliminated jobs in its trending module, the part of its news division where staff curated popular news for Facebook users. Over the weekend, the fully automated Facebook trending module pushed out a false story about Fox News host Megyn Kelly, a controversial piece about a comedian's four-letter word attack on rightwing pundit Ann Coulter"