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"But researchers at New York University's AI Now Institute have issued a strong warning against not only ubiquitous facial recognition, but its more sinister cousin: so-called affect recognition, technology that claims it can find hidden meaning in the shape of your nose, the contours of your mouth, and the way you smile. If that sounds like something dredged up from the 19th century, that's because it sort of is."

"I've got a theory of change I call the "peak indifference" theory. The early stage of a crisis involves trying to convince people that the crisis even exists, because things haven't gotten really terrible yet and it's not obvious that there's anything to really worry about, and the people who profit from the status quo will spend liberally to convince people that there's no reason to worry or change anything (see also: climate change, Facebook, cancer from smoking)."

"The proponents of the so-called decentralised web - or DWeb - want a new, better web where the entire planet's population can communicate without having to rely on big companies that amass our data for profit and make it easier for governments to conduct surveillance."

"About 70% of the world's online traffic is reckoned to pass through Loudoun County. But there is a big problem, centred on a power company called Dominion, which supplies the vast majority of Loudoun County's electricity. According to a 2017 Greenpeace report, only 1% of Dominion's total electricity comes from credibly renewable sources:"

"EFF's Legal Director Corynne McSherry offers five lessons to keep in mind: 1. (Lots of) mistakes will be made: copyright takedowns result in the removal of tons of legitimate content. 2. Robots won't help: automated filtering tools like Content ID have been a disaster, and policing copyright with algorithms is a lot easier than policing "bad speech." 3. These systems need to be transparent and have due process. A system that allows for automated instant censorship and slow, manual review of censorship gives a huge advantage to people who want to abuse the system. 4. Punish abuse. The ability to censor other peoples' speech is no joke. If you're careless or malicious in your takedown requests, you should pay a consequence: maybe a fine, maybe being barred form using the takedown system. 5. Voluntary moderation quickly becomes mandatory. Every voluntary effort to stem copyright infringement has been followed by calls to make those efforts mandatory (and expand them)."

"california has banned bots that pretend to be human. under a newly signed bill, these bots will need to disclose their nature, making it clear to the user that they're conversing with a machine rather than a human.    according to a bill signed on friday by democratic gov. jerry brown, automated accounts, more commonly called 'bots', will need to disclose to customers that they're not real humans, according to reporting from PC magazine. the bill is part of a move that will help users avoid falling victim to automated messages selling goods or services in a commercial transaction or to influence a vote in an election."

"Jack Poulson was a senior research scientist at Google whose work on machine learning work was used to improve Google's search results; now he's quit the company over its Project Dragonfly, a once-secret plan to launch a censored Chinese search engine; Poulson called the move a "forfeiture of our values." Tech companies find it hard to qualify skilled engineers at any price, and machine learning specialists are especially prize, commanding salaries of $1MM/year or more. "

"publicly announced that the company had "overestimated the arrival of autonomous vehicles" and that the vehicles, when they did arrive, their "applications will be narrow, what we call geo-fenced, because the problem is so complex.""

"There is growing concern that as well as addicting users, technology is contributing toward so-called "continuous partial attention", severely limiting people's ability to focus, and possibly lowering IQ. One recent study showed that the mere presence of smartphones damages cognitive capacity - even when the device is turned off. "Everyone is distracted," Rosenstein says. "All of the time.""

"His program became the first of a particular type of cyber attack called "distributed denial of service," in which large numbers of internet-connected devices, including computers, webcams and other smart gadgets, are told to send lots of traffic to one particular address, overloading it with so much activity that either the system shuts down or its network connections are completely blocked."

"he outlines three sources of dysfunction - 'deliberate, malicious intent, such as state-sponsored hacking and attacks, criminal behaviour, and online harassment'; 'system design' which has created 'perverse incentives where user value is sacrificed, such as ad-based revenue models that commercially reward clickbait'; and the 'viral spread of misinformation'. he also calls attention to the 'unintended negative consequences' of the web, which he said had led to 'the outraged and polarised tone and quality of online discourse'."

"Studies generally suggest that, year after year, less than 60 percent of web traffic is human; some years, according to some researchers, a healthy majority of it is bot. For a period of time in 2013, the Times reported this year, a full half of YouTube traffic was "bots masquerading as people," a portion so high that employees feared an inflection point after which YouTube's systems for detecting fraudulent traffic would begin to regard bot traffic as real and human traffic as fake. They called this hypothetical event "the Inversion.""

How long before this is used without our knowledge in facial recognition systems? "Through the use of the data from this lab study and a formula Kim and Yang applied called "fractal dimension," Kim and Yang discovered a negative relationship between the fractal dimension of pupil dilation and a person's workload, showing that pupil dilation could be used to indicate the mental workload of a person in a multitasking environment."

"A dump called "Collection #1" has been released by parties unknown, containing email addresses and cracked passwords: in its raw form, it contains 2.7 billion records, which Troy "Have I Been Pwned" Hunt (previously) de-duplicated to come up with 773 million unique records -- of those 140,000,000 email addresses and 10,000,000 passwords have never been seen in the HaveIBeenPwned database before."

"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."

"At Imperial College London, Murray Shanahan and colleagues are working on a way around this problem using an old, unfashionable technique called symbolic AI. "Basically this meant an engineer labelled everything for the AI," says Shanahan. His idea is to combine this with modern machine learning. Symbolic AI never took off, because manually describing everything quickly proved overwhelming. Modern AI has overcome that problem by using neural networks, which learn their own representations of the world around them. "They decide what is salient," says Marta Garnelo, also at Imperial College."

"It is one of the first programs to combine an external memory with an approach called deep-learning, in which the program learns how to do tasks independently rather than being pre-programmed with a set of rules by a human."

"In Neural Photo Editing With Introspective Adversarial Networks, a group of University of Edinburgh engineers and a private research colleague describe a method for using "introspective adversarial networks" to edit images in realtime, which they demonstrate in an open project called "Neural Photo Editor" that "enhances" photos by predicting what should be under your brush."

"The algorithm, called Compas (Correctional Offender Management Profiling for Alternative Sanctions), is used throughout the US to weigh up whether defendants awaiting trial or sentencing are at too much risk of reoffending to be released on bail. Since being developed in 1998, the tool is reported to have been used to assess more than one million defendants. But a new paper has cast doubt on whether the software's predictions are sufficiently accurate to justify its use in potentially life-changing decisions."