Group items tagged

"But there is another set of Facebook stories that shines even more glaring light on the company's mismatch of power and responsibility. A good place to start is Sri Lanka: one of many countries where "fake news" is not the slightly jokey notion regularly played up by Trump, but sometimes a matter of life and death."

"Many studies like these describe heavy users as addicted to smartphones. But the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders, the official guidebook for psychiatric diagnoses released in 2013, does not view smartphones as addictive. The manual separates behavioral and substance-use problems for the first time, but online gambling is the only behavioral addiction recognized by the DSM-5, as it's called."

"Apart from biases in the training databases, it's hard to know how well face-recognition systems actually perform in the real world, in spite of recent gains. Anil Jain, a professor of computer science at Michigan State University who has worked on face recognition for more than thirty years, told me, "Most of the testing on the private venders' products is done in a laboratory environment under controlled settings. In real practice, you're walking around in the streets of New York. It's a cold winter day, you have a scarf around your face, a cap, maybe your coat is pulled up so your chin is partially hidden, the illumination may not be the most favorable, and the camera isn't capturing a frontal view.""

" "Why isn't my face being detected? We have to look at how we give machines sight," she said in a TED Talk late last year. "Computer vision uses machine-learning techniques to do facial recognition. You create a training set with examples of faces. However, if the training sets aren't really that diverse, any face that deviates too much from the established norm will be harder to detect.""

"In October, American teachers prevailed in a lawsuit with their school district over a computer program that assessed their performance. The system rated teachers in Houston by comparing their students' test scores against state averages. Those with high ratings won praise and even bonuses. Those who fared poorly faced the sack. The program did not please everyone. Some teachers felt that the system marked them down without good reason. But they had no way of checking if the program was fair or faulty: the company that built the software, the SAS Institute, regards its algorithm a trade secret and would not disclose its workings."

"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."

"When the field of AI believes it is neutral, it both fails to notice biased data and builds systems that sanctify the status quo and advance the interests of the powerful. What is needed is a field that exposes and critiques systems that concentrate power, while co-creating new systems with impacted communities: AI by and for the people."

"We want to start a conversation about emotion recognition technology. Explore the site, watch the video, play a game and add your thoughts to our research. Or turn on your camera to activate our very own emotion recognition machine...will it 'emojify' you? "

"Qoves founder Shafee Hassan claimed to MIT Technology Review that beauty scoring is widespread; social media platforms use it to identify attractive faces and give them more attention."

"Beginning in 2017, I did a project with artist Trevor Paglen to look at how people were being labelled. We found horrifying classificatory terms that were misogynist, racist, ableist, and judgmental in the extreme. Pictures of people were being matched to words like kleptomaniac, alcoholic, bad person, closet queen, call girl, slut, drug addict and far more I cannot say here. ImageNet has now removed many of the obviously problematic people categories - certainly an improvement - however, the problem persists because these training sets still circulate on torrent sites [where files are shared between peers]."

"Researchers fed these algorithms (which function like autocomplete, but for images) pictures of a man cropped below his neck: 43% of the time the image was autocompleted with the man wearing a suit. When you fed the same algorithm a similarly cropped photo of a woman, it auto-completed her wearing a low-cut top or bikini a massive 53% of the time. For some reason, the researchers gave the algorithm a picture of the Democratic congresswoman Alexandria Ocasio-Cortez and found that it also automatically generated an image of her in a bikini. (After ethical concerns were raised on Twitter, the researchers had the computer-generated image of AOC in a swimsuit removed from the research paper.)"

"This is an abuse of the concept of consent and risks desensitizing people to surveillance. Eproctoring also treats students as if they are guilty until proven innocent, which is a concerning and disrespectful stance for any academic institution to take." What do you think?

"But BERT, which is now being deployed in services like Google's internet search engine, has a problem: It could be picking up on biases in the way a child mimics the bad behavior of his parents. BERT is one of a number of A.I. systems that learn from lots and lots of digitized information, as varied as old books, Wikipedia entries and news articles."

"Assigning female genders to digital assistants such as Apple's Siri and Amazon's Alexa is helping entrench harmful gender biases, according to a UN agency."

"What really helps Trump is Facebook. Last October, it became clear that, whatever its collective remorse about the role it had played in Trump's election three years before, Mark Zuckerberg's company had quietly exempted advertising by parties and candidates from its regulations on truth and falsehood."

"And that was a genuine first - the only time I can recall when an algorithmic decision had been challenged in public protests that were powerful enough to prompt a government climbdown. In a world increasingly - and invisibly - regulated by computer code, this uprising might look like a promising precedent."