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"A widely used algorithm that predicts which patients will benefit from extra medical care dramatically underestimates the health needs of the sickest black patients, amplifying long-standing racial disparities in medicine, researchers have found."

"If the NBA really cares about player and fan safety and racial justice, it is time that they ban facial recognition from their events and arenas. Facial recognition companies are forcefully marketing their racially biased products as false solutions to COVID-19-the NBA cannot buy these lies."

"On inbuilt bias in algorithms, Sharkey said: "There are so many biases happening now, from job interviews to welfare to determining who should get bail and who should go to jail. It is quite clear that we really have to stop using decision algorithms, and I am someone who has always been very light on regulation and always believed that it stifles innovation."

"Dozens of people who say they were subjected to death threats, racial slurs, and blackmail after their in-home Ring smart cameras were hacked are suing the company over "horrific" invasions of privacy."

"Concerns have been growing about AI's so-called "white guy problem" and now scientists have devised a way to test whether an algorithm is introducing gender or racial biases into decision-making."

"A simple Google image search highlighted on Twitter has been said to highlight the pervasiveness of racial bias and media profiling. "Three black teenagers" was a trending search on Google on Thursday after a US high school student pointed out the stark difference in results for "three black teenagers" and "three white teenagers"."

"O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness. The problem, O'Neill describes, was that many of the factors in the existing data on homelessness were entangled with things like race (and its proxies, like ZIP codes, which map extensively to race in heavily segregated cities like New York). Using data that reflects racism in the system to train a machine-learning algorithm whose conclusions can't be readily understood runs the risk of embedding that racism in a new set of policies, these ones scrubbed clean of the appearance of bias with the application of objective-seeming mathematics. "

"People in Soho, Piccadilly Circus, and Leicester Square are being told by the London Metropolitan Police to submit to a trial of the force's notoriously inaccurate, racially biased facial recognition system, which clocks in an impressive error-rate of 98% (the system has been decried by Professor Paul Wiles, the British biometrics commissioner, as an unregulated mess)."

"Rekognition indicated high confidence that 28 members of the current Congress were known arrestees. It was wrong in every case. The false positives disproportionately targeted racialized members of Congress. This, finally, has Congress's attention: members of Congress have sent some pointed questions to Amazon about its Rekognition tool and given them a deadline of Aug 20 to respond. They've also requested an immediate meeting with Jeff Bezos to discuss the topic in depth."

"Specifically, the question is whether that algorithm is sorting suggestions based on the race of the creator - something TikTok denies it's doing intentionally. But it's another example of the need for more scrutiny into how the app and other social media platforms promote particular creators or content."

"These systems weren't set up to be biased; it's likely that they were simply trained on a subset of the diversity of accents and usages present in the United States. But, as we become ever more reliant on these systems, making them less frustrating for all their users should be a priority."

"The submission outlines Big Blue's belief that facial recognition is fine in a "1 to 1" context such as unlocking a phone. But IBM is opposed to "1 to many" facial recognition that refers to a database to identify a face in a crowd and could therefore be used for "mass surveillance systems, racial profiling or other human rights violations.""

"But users began to spot flaws in the feature over the weekend. The first to highlight the issue was PhD student Colin Madland, who discovered the issue while highlighting a different racial bias in the video-conference software Zoom. When Madland, who is white, posted an image of himself and a black colleague who had been erased from a Zoom call after its algorithm failed to recognise his face, Twitter automatically cropped the image to only show Madland."

"The business, political and geopolitical mischief possible with manipulated data, audio or video is almost limitless; think manufactured video of Jeff Bezos-whose personal life has already apparently been the target of sophisticated adversaries and extortion plots-using a racial slur; grainy fake video or audio of Joe Biden admitting to assaulting Tara Reade; grainy video of Trump saying he plans to nuke Iran in one hour; or even Anthony Fauci saying that he's doctoring the Covid death tolls. "

"Zvikorn, whose bio on the site describes an Israeli teen into sports history, has made more than 2,300 edits to Wikipedia articles over the past few years. "The main reason I edit Wikipedia is a strong belief that every person on the planet has the right to access the accumulated knowledge of humanity," he wrote. "Today it is only getting more important for mankind to find out the truth and not be exposed to believe fake news." But after his breaking-news edit, Kamala Harris's page on "the free encyclopedia that anyone can edit" quickly became a battleground-first over a sexist slur and then over racial identity-offering a grim preview of the attacks Harris is already facing as the presumptive Democratic nominee for vice president."

"In each case, biometric data has been harnessed to try to save time and money. But the growing use of our bodies to unlock areas of the public and private sphere has raised questions about everything from privacy to data security and racial bias."

"The questions of the day are "How do we save the planet from the climate crisis?" and "What do we do about misogyny, racial profiling and police violence, and homophobic laws?" and "How do we check mass surveillance and the widening power of the state?" and "How do we bring down autocratic, human-rights-abusing regimes without leaving behind chaos and tragedy?" Those are the questions. But the internet is the answer. If you propose to fix any of these things without using the internet, you're not being serious. And if you want to free the internet to use in all those fights, there's a quarter century's worth of Internet Utopians who've got your back."

"The brochure also advertised "Optional Demographic Profiling Facial analysis algorithms", including "gender, race/ethnicity, age" profiling. A second, Italian-based, company was also cited on Hikvision's website as offering racial profiling. The company removed both claims from its website following an inquiry from the Guardian, and said the technology had never been sold in the UK. The document, it said, detailed the "potential application of our cameras, with technology built independently by FaiceTech and other partners"."

"Since its inception, facial recognition technology has been met with equal doses of skepticism and controversy. One company scraped billions of photos from social media without the public's knowledge, building a near-universal facial recognition application and inciting cries of infringement on constitutional freedom and exacerbation of racial biases."

"They still have far more advanced technology that they haven't made publicly available yet. Something that does more or less what Bard does could have been released over two years ago. They've had that technology for over two years. What they've spent the intervening two years doing is working on the safety of it - making sure that it doesn't make things up too often, making sure that it doesn't have racial or gender biases, or political biases, things like that. That's what they spent those two years doing. But the basic existence of that technology is years old, at this point. And in those two years, it wasn't like they weren't inventing other things. There are plenty of other systems that give Google's AI more capabilities, more features, make it smarter. The most sophisticated system I ever got to play with was heavily multimodal - not just incorporating images, but incorporating sounds, giving it access to the Google Books API, giving it access to essentially every API backend that Google had, and allowing it to just gain an understanding of all of it."