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""Social media giants like Twitter receive an unprecedented liability shield based on the theory that they are a neutral platform, not an editor with a viewpoint," he said during an Oval Office signing ceremony for an executive order designed to rein in big technology companies."

"To Lawmakers and School Administrators: As parents and caregivers, there is nothing more important to us than our children's safety. That's why we're calling for an outright ban on the use of facial recognition in schools. We're concerned about this technology spreading to our schools, infringing on our kids' rights and putting them in danger. We don't even know the psychological impacts this constant surveillance can have on our children, but we do know that violating their basic rights will create an environment of mistrust and will make it hard for students to succeed and grow. The images collected by this technology will become a target for those wishing to harm our children, and could put them in physical danger or at risk of having their biometric information stolen or sold. The well-known bias built into this technology will put Black and brown children, girls, and gender noncomforming kids in specific danger. Facial recognition creates more harm than good and should not be used on the children we have been entrusted to protect. It should instead be immediately banned."

"THE GLARING FALLACY that always lies at the heart of pro-censorship sentiments is the gullible, delusional belief that censorship powers will be deployed only to suppress views one dislikes, but never one's own views. The most cursory review of history, and the most minimal understanding of how these tech giants function, instantly reveals the folly of that pipe dream."

"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."

"What wasn't publicly known until now is that Facebook actually ran experiments to see how the changes would affect publishers-and when it found that some of them would have a dramatic impact on the reach of right-wing "junk sites," as a former employee with knowledge of the conversations puts it, the engineers were sent back to lessen those impacts. As the Wall Street Journal reported on Friday, they came back in January 2018 with a second iteration that dialed up the harm to progressive-leaning news organizations instead."

"This kind of muddy uncertainty seemed inevitable. The board has jurisdiction over every Facebook user in the world, but intuitions about freedom of speech vary dramatically across political and cultural divides. In Hong Kong, where the pro-democracy movement has used social media to organize protests, activists rely on Facebook's free-expression principles for protection against the state. In Myanmar, where hate speech has contributed to a genocide against the Rohingya, advocates have begged for stricter enforcement. "

"POLICE IN CHINA'S Liaoning province were sitting on mounds of data collected through invasive means: financial records, travel information, vehicle registrations, social media, and surveillance camera footage. To make sense of it all, they needed sophisticated analytic software. Enter American business computing giant Oracle, whose products could find relevant data in the police department's disparate feeds and merge it with information from ongoing investigations."

"My job was to use technology to make the low-level content moderators' work more efficient. For example, we created a tool that allowed them to throw a video clip into our database and search for similar content. When I was at ByteDance, we received multiple requests from the bases to develop an algorithm that could automatically detect when a Douyin user spoke Uyghur, and then cut off the livestream session. The moderators had asked for this because they didn't understand the language. Streamers speaking ethnic languages and dialects that Mandarin-speakers don't understand would receive a warning to switch to Mandarin."

"That can include statistical or machine learning algorithms that rely on police records detailing the time, location, and nature of past crimes in a bid to predict if, when, where, and who may commit future infractions. In theory, this should help authorities use resources more wisely and spend more time policing certain neighborhoods that they think will yield higher crime rates."

"Robots have been slow to appear because each one requires a rare confluence of market, task, technology, and innovation. (And luck. I only described some of the things that nearly killed Roomba.) But as technology advances and costs decline, the toolbox for robot designers constantly expands. Thus, more types of robots will cross the threshold of economic viability. Still, we can expect one constant. Each new, successful robot will represent a minimum-the simplest, lowest-cost solution to a problem people want solved. The growing set of tools that let us attack ever more interesting problems make this an exciting time to practice robotics."

"Our brains tend to lean on the visual, heavily prioritising sight over the other four senses. Ever since we climbed on to two feet as a species, taking our noses farther from the aroma-rich savannah floor, we have been wired to be seeing creatures and for better or worse we usually experience the what's-next-what's-next of this world through our peepers."

"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. "

"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."

"A flagship artificial intelligence system designed to predict gun and knife violence before it happens had serious flaws that made it unusable, police have admitted. The error led to large drops in accuracy and the system was ultimately rejected by all of the experts reviewing it for ethical problems."

"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."

"This is the biggest concern. I can't overstate how big of a problem this is. I'd be the first that wishes I could wave a magic wand and have an easy solution where all of this could be solved. A teacher I know says there's just 5 percent or 10 percent of her kids in Mountain View, Calif., who are just checked out. She can't get them to show up. She can even see that their language has degraded because they haven't spent as much time with adults or peers in an academic setting."

"The first and most obvious explanation for older internet users' increased vulnerability to misinformation is the effect of aging on the brain. A huge body of research has demonstrated that the same factors that make older Americans susceptible to financial scams - lower impulse control, slower cognitive function, higher rates of social isolation - also make them vulnerable to misinformation. "

"This time the model could look at both the surrounding words and the content of the image to fill in the blank. Through millions of repetitions, it could then discover not just the patterns among the words but also the relationships between the words and the elements in each image."

"But Leuthardt, for one, expects he will live to see it. "At the pace at which technology changes, it's not inconceivable to think that in a 20-year time frame everything in a cell phone could be put into a grain of rice," he says. "That could be put into your head in a minimally invasive way, and would be able to perform the computations necessary to be a really effective brain-computer interface.""

""Our job as teachers and professors is not to surveil and police our students, but it's to educate them," he says. "You are assuming that students are trying to cheat-rather than assuming students are trying to learn and help them learn." He sees the growing adoption of automated proctoring tools as a continuation of a trend started by plagiarism-detection services like Turnitin, which he says were built on the assumption that students want to cheat and must be policed. But despite early pushback by students and some professors, plagiarism detection has become ubiquitous. Parry worries the same thing could happen with automated proctoring."