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"It is a stark contrast to how social media platforms have dealt with misinformation in the past."

"A draft government memo explaining how the NHS contact-tracing app could stem the spread of the coronavirus said ministers might be given the ability to order "de-anonymisation" to identify people from their smartphones, the Guardian can reveal. The health secretary, Matt Hancock, announced on Sunday that the UK planned to introduce an app that would enable people who developed Covid-19 symptoms to "anonymously" alert other users to whom they had been in close proximity. "All data will be handled according to the highest ethical and security standards, and would only be used for NHS care and research," he said."

"But, as he and other modellers warn, much information about how SARS-CoV-2 spreads is still unknown and must be estimated or assumed - and that limits the precision of forecasts. An earlier version of the Imperial model, for instance, estimated that SARS-CoV-2 would be about as severe as influenza in necessitating the hospitalization of those infected. That turned out to be incorrect."

"We have become symbiotic with these machines. We feed them with energy and data, and they reward us with a host of services. But our relationship with them goes deeper. There are multiple layers of feedback loops as we shape algorithms and they shape us, at the individual and collective levels. What framework can we turn to to analyze this complex ecosystem?"

"The system uses AI to predict situations before they occur - thus informing on how resources could be better allocated - and to provide insights for better decision-making."

"The thousands of leaked documents focus mainly on techniques for hacking and reveal how the CIA cooperated with British intelligence to engineer a way to compromise smart televisions and turn them into improvised surveillance devices."

"We now know targeted Facebook advertising played a big role in 2015's general election. The Conservatives spent £1.2m on Facebook advertising in 2015 - and it paid off with a majority, albeit a small one. It is understood both them and Labour plan on spending similar amounts on Facebook advertising. "

"It is time now for two things: for people to wake up and realise how much our lives are dominated by such a small number of Silicon Valley bros, one hand in their jean pocket announcing their next move, and for tech companies to acknowledge their power and influence and become truly accountable."

"This tool predicts your psycho-demographic profile from digital footprints of your behaviour. It reveals how you might be perceived by others online and provides detailed insights on your personality, intelligence, life satisfaction and more." YIKES

"The 61-year-old British computer scientist described how political advertising has become a sophisticated and targeted industry, drawing on enormous pools of personal data on Facebook and Google. This means that campaigns create precisely targeted ads for individuals - as many as 50,000 variations each day on Facebook during the 2016 US election, he said."

" "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.""

"However, there is some concern about how accurate these new procedures will be. Apparently the facial recognition technology doesn't recognize all people will the same accuracy. White women and black people aren't as easily recognized as white men, meaning there could be some mismatching of identities. Some are also concerned that this is crossing the line in terms of passenger privacy."

"So, yes: the internet of things presents many new possibilities, and it would be foolish to dismiss those possibilities out of hand. But we would also be wise to approach the entire domain with scepticism, and in particular to resist the attempts of companies to gather ever more data about our lives - no matter how much ease, convenience and self-mastery we are told they are offering us."

"Google's AlphaGo AI Go player has defeated Ke Jie, Go world champion, in the opening match of a three game series that will include matches with Jie on Thursday and Saturday. The win was by a narrow margin, but AlphaGo has been programmed to ensure victory, not to run up the score or devastate its opponent, so the margin by which it wins isn't necessarily a good indicator of how easy or hard it was for the computer player to win"

"Instead, the new work shows our brains rely on the kind of maths that an algorithm might use to perform the task. In fact, Tsao and her colleague, Steven Le Chang, stumbled on their discovery while working on computer vision. The pair had initially set themselves the challenge of coming up with a way of reliably converting facial images into a numerical representation."

"Researchers from MIT and Google recently showed off a machine learning algorithm capable of automatically retouching photos just like a professional photographer. Snap a photo and the neural network identifies exactly how to make it look better-increase contrast a smidge, tone down brightness, whatever-and apply the changes in less than 20 milliseconds."

"How can we help kids excel at the things that humans will always do better than AI?" Great talk - she also presented at recent IB conference in Yokohama.

"Lexplore claims its technology is new-particularly the algorithm that separates typical from atypical readers. But the concepts it's based on aren't. Its tech draws from a deep well of previously-conducted research stretching back decades, which is generally supportive of using a combination of eye tracking and machine learning to screen for dyslexia. "Eye movements is one of the best ways to index reading ability at an incredibly in-depth level," says Julie Kirkby, a psychology professor at Bournemouth University in the United Kingdom, who has studied eye tracking and dyslexia for years."

"Chamath Palihapitiya, who was vice-president for user growth at Facebook before he left the company in 2011, said: "The short-term, dopamine-driven feedback loops that we have created are destroying how society works. No civil discourse, no cooperation, misinformation, mistruth.""