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"This type of extreme racist post was frequently met with pushback from the community. Common responses included; "people should be treated as individuals not as part of a group" and "the Democrats are the ones who want to divide us up by race". Implicit or explicit gestures of antisemitism were strongly protested by evangelical Christians. Red-pill posts would rarely stay up long. In most cases, they were only intended to appear in one's Instagram feed and to vanish shortly after. The account would then resume posting popular content, wait another week and try it again. This process would continue for months, maybe a year. By posting mainstream conservative content most of the time, these extreme-right groups were able to build up an audience numbering in the range of 30,000 to 40,000, which they could then incrementally expose to radical content."

"It is high time the Congress and Biden administration placed reasonable democratic constraints on online advocacy of violence and extremism. The choice is clear: we can either protect our democracy from extremism or lose it. In the real world, your postal carrier is prevented by law from reading your mail and selling your information to recruiters who wish to spam you with violent extremist material. Those same protections must be extended to Facebook and other companies."

"But by far the most immediate danger is the role that AI data analysis and generation plays in spreading disinformation and extremism on social media. This technology powers bots and amplification algorithms. These have played a direct role in fomenting conflict in many countries. They are helping to intensify racism, conspiracy theories, political extremism and a plethora of violent, irrationalist movements."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"Rutgers University's new program also uses a "behavior observation tool," which monitors student browser activity throughout an active session. While this feature is intended to prevent students from using the Internet to cheat on exams, the power that this grants instructors is extremely invasive. If a student accidentally leaves a personal or embarrassing website in their browser during an online course, a ProctorTrack instructor might stumble upon their activity."

"The founders of Predictim want to be clear with me: Their product-an algorithm that scans the online footprint of a prospective babysitter to determine their "risk" levels for parents-is not racist. It is not biased. "We take ethics and bias extremely seriously," Sal Parsa, Predictim's CEO, tells me warily over the phone. "In fact, in the last 18 months we trained our product, our machine, our algorithm to make sure it was ethical and not biased. We took sensitive attributes, protected classes, sex, gender, race, away from our training set. We continuously audit our model. And on top of that we added a human review process.""

"Launched in response to terror attacks in New Zealand in May, where a lone gunman killed 51 people at two mosques in Christchurch while livestreaming the massacre on Facebook, it calls for the "effective enforcement" of laws prohibiting the dissemination of terrorist content. It also states that all action on the issue must be consistent with the principles of a free, open and secure Internet, without compromising freedom of expression."

"A group of current and former contractors who worked for years at the social network's Berlin-based moderation centres has reported witnessing colleagues become "addicted" to graphic content and hoarding ever more extreme examples for a personal collection. They also said others were pushed towards the far right by the amount of hate speech and fake news they read every day."

"Investors and clients of the facial recognition start-up with ties to the extreme right used an early version of the Clearview AI app on dates and at parties - "and to spy on the public.""

"The world's spookiest philosopher is Nick Bostrom, a thin, soft-spoken Swede. Of all the people worried about runaway artificial intelligence, and Killer Robots, and the possibility of a technological doomsday, Bostrom conjures the most extreme scenarios. In his mind, human extinction could be just the beginning."

""Face recognition … might be the thorniest issue, where the benefits are so clear, and the risks are so clear, and we don't know where to balance those things." Excuse me? What kind of benefits could possibly balance the risk of making life extremely easy for stalkers and creeps? Well, Bosworth later said on Twitter, it could help people with prosopagnosia, a neurological condition where you can't recognize people's faces. More generally, Bosworth said, it would be super handy when you run into someone at a party and can't remember their name. Ah yes, I can totally see how avoiding a little social awkwardness balances out the whole stalker thing!"

"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]."

""Mexico's capacity to spy on its citizens is immense. [And] it's extremely easy for the technology and the information obtained through the spyware to fall into private hands - be it organised crime or commercial," said Jorge Rebolledo, a Mexico City security consultant. "What we know about is only the tip of the iceberg." Andrés Manuel López Obrador Andrés Manuel López Obrador. The data leak is a list of more than 50,000 phone numbers that, since 2016, are believed to have been selected as belonging to people of interest by government clients of NSO Group."

"The internet-freedom group Access Now recorded 75 internet outages in 2016, which more than doubled to 196 last year. "The tactic has been around for a while, but the rate at which it is being applied now is extremely alarming," says Berhan Taye, of the UK-based organisation."

"John became increasingly radicalised by an online barrage of far-right disinformation. "Posts of homeless British soldiers were set against Muslim families being given free homes. Now I know the posts were all fake, but the 15-year-old me didn't bother to fact-check." The worry is that John's contemporaries won't either. A surge of online extremism and disinformation has arrived at a time of lockdown-induced isolation, loneliness and home-schooling, creating what police call a "perfect storm". One British far-right group has even started pushing an alternative white-supremacist school curriculum for lockdown learning."

"In the beginning, we thought anonymity was part of the problem - that people being able to hide behind their screens without being identified were willing to say more extreme things than people who are named. But now you see people don't care about being named. They're willing to go to a public white supremacist rally unmasked with their full identity showing. They're proud of it. It doesn't make me believe more in humanity."

"These experiments in computational creativity are enabled by the dramatic advances in deep learning over the past decade. Deep learning has several key advantages for creative pursuits. For starters, it's extremely flexible, and it's relatively easy to train deep-learning systems (which we call models) to take on a wide variety of tasks."

"We are inured to the idea that professional environments have a built-in layer of surveillance, and now that this environment has merged with the home for many workers, some of these practices have started to look more extreme. But the discussion about surveillance should not start and end with the tools employers use to monitor people working from home. We should instead be asking: how necessary is any of this?"

"At first glance, the change might seem relatively benign. Often, all folks surfing the web want is a quick-hit summary or snippet of something anyway. But it's not unfair to say that Google, which in April, according to data from SimilarWeb, hosted roughly 91 percent of all search traffic, is somewhat synonymous with, well, the internet. And the internet isn't just some ethereal, predetermined thing, as natural water or air. The internet is a marketplace, and Google is its kingmaker. As such, the demo raises an extremely important question for the future of the already-ravaged journalism industry: if Google's AI is going to mulch up original work and provide a distilled version of it to users at scale, without ever connecting them to the original work, how will publishers continue to monetize their work?"