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"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.""

"His software is not labeled anything as grand as artificial intelligence. It's machine learning, facilitating and extending his own words, his own imagination. At one level, it merely helps him do what fledgling writers have always done - immerse themselves in the works of those they want to emulate. Hunter Thompson, for instance, strived to write in the style of F. Scott Fitzgerald, so he retyped "The Great Gatsby" several times as a shortcut to that objective."

"His team trained a machine learning algorithm to spot words and phrases associated with bullying on social media site AskFM, which allows users to ask and answer questions. It managed to detect and block almost two-thirds of insults within almost 114,000 posts in English and was more accurate than a simple keyword search. Still, it did struggle with sarcastic remarks."

"The underlying theory is that art evolves "through small alterations to a known style that produce a new one," which, as Ian Bogost (previously) points out, is "a convenient take, given that any machine-learning technique has to base its work on a specific training set.""

"In October 2016, algorithms reacted to negative news headlines about Brexit negotiations by sending the pound down 6% against the dollar in under two minutes, before recovering almost immediately. Knowing which particular headline, or which particular algorithm, caused the crash is next to impossible. When one haywire algorithm started placing and cancelling orders that ate up 4% of all traffic in US stocks in October 2012, one commentator was moved to comment wryly that "the motive of the algorithm is still unclear"."

"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?"

" "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.""

"LeCun argues that even self-supervised learning and learnings from neurobiology won't be enough to achieve artificial general intelligence (AGI), or the hypothetical intelligence of a machine with the capacity to understand or learn from any task. That's because intelligence - even human intelligence - is very specialized, he says. "AGI does not exist - there is no such thing as general intelligence," said LeCun. "We can talk about rat-level intelligence, cat-level intelligence, dog-level intelligence, or human-level intelligence, but not artificial general intelligence.""

"a word that does not exist; it was invented, defined and used by a machine learning algorithm. "

"The firm's software uses machine learning (ML), an advanced form of artificial intelligence, to detect patterns in user behaviour that could indicate attempts to cheat. Its technology can also automatically mark multiple-choice answers and mathematics exams. In addition, it checks each exam-sitter's identity using the webcam, to ensure that no-one else is sitting the test for them. The Better Examinations program also temporarily restricts access to the internet, or certain websites and applications on each person's computer. "

"Do androids dream of electric betrayal? That's just one question looming over this cover of "Jolene," made by the musician Holly Herndon using her "deepfake" digital twin Holly+, built to replicate the artist's own singing voice using machine learning technology."

"Every year, Amazon ships hundreds of millions of parcels in Germany. Just a few clicks and a little later the delivery driver is at your door. An investigation by CORRECTIV.Lokal takes a look behind the scenes of the logistics chain and shows a system built on pressure, surveillance, and extreme stress. An insight into the gears of a machine where no idling is allowed."

""We want to build AIs that will be honest and not deceptive," Bengio said. He added: "It is theoretically possible to imagine machines that have no self, no goal for themselves, that are just pure knowledge machines - like a scientist who knows a lot of stuff." However, unlike current generative AI tools, Bengio's system will not give definitive answers and will instead give probabilities for whether an answer is correct."

"A report from the Oxford Martin School's Programme on the Impacts of Future Technology said that 47 percent of all jobs in the U.S. are likely to be replaced by automated systems. Among the jobs soon to be replaced by machines are real estate brokers, animal breeders, tax advisers, data entry workers, receptionists and various personal assistants."

"Bruce Schneier makes the point that if the Russian state is behind the DNC hacks, there's no reason to expect that its attacks on the US political system will end there. Voting machines are so notoriously terrible that they'd be a very tempting target for Russia or other states that want to influence the outcome in 2016 (or merely destabilize the US by calling into question the outcome in an election). "

""We have absolutely nothing against bricklayers," Pivac says. "The problem is the average age of bricklayers is going up and it's difficult to attract new young people to the trade." There's a debate on about the future of automation-what it means that machines may be able to match humans at virtually any task. For now, robots are nowhere near that advanced."

"MEMS and nanotechnology utilize seemingly impossibly small mechanisms in order to sense, control and respond to a particular environment - these technologies can sense mechanical information as well as biological data. Many MEMS sensors function by detecting small electrical currents that provide data on things such as position, geomagnetic field, acceleration and more, and then pass this information along to other mechanisms within a device or machine. "

"On the other side of the table will be his opponent: Alphago, a programme built by Google subsidiary DeepMind which became, in October, the first machine to beat a professional human Go player, the European champion Fan Hui. That match proved that Alphago could hold its own against the best; this one will demonstrate whether "the best" have to relinquish that title entirely."

""Each time we build new ways of doing something close to human level, it allows us to automate or augment human labor," said Jeremy Howard, founder of Fast.ai, an independent lab based in San Francisco that is among those at the forefront of this research. "This can make life easier for a lawyer or a paralegal. But it can also help with medicine." It may even lead to technology that can - finally - carry on a decent conversation. But there is a downside: On social media services like Twitter, this new research could also lead to more convincing bots designed to fool us into thinking they are human, Howard said."