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""No-limit Texas Hold'em is a game of incomplete information where the AI must infer a human player's intentions and then act in ways that incorporate both the direct odds of winning and bluffing behaviour to try to fool the other player." The designers said their computer didn't "bluff" the human players. But by learning from its mistakes and practising its moves at night between games, the AI was working out how to defeat its human opponents."

Justin Engler and Paul Vines will demo a robot called the Robotic Reconfigurable Button Basher (R2B2) at Defcon; it can work its way through every numeric screen-lock Android password in 19 hours.

"It might not sound like much, but the success of the Minwa supercomputer, which can sort a million images into a thousand predefined categories with an error rate less than the typical human, makes it the latest secret weapon of the company known as "China's Google", Baidu."

"At the heart of the problem that troubles Ming is the training that computer engineers receive and their uncritical faith in AI. Too often, she says, their approach to a problem is to train a neural network on a mass of data and expect the result to work fine. She berates companies for failing to engage with the problem first - applying what is already known about good employees and successful students, for example - before applying the AI."

"Hassabis was a child chess prodigy, who learned the game aged four and was able to beat his dad three weeks later - indeed, when he started playing competitively he was so small he had to bring a pillow with him to reach the board - and became a strong player. Yet in AlphaZero's case there was no human input, other than telling it the rules of each game. "In a matter of a few hours it was superhuman," Hassabis says proudly."

"This way of thinking about search results is wrong. Recent studies suggest that search engines, rather than providing a neutral way to find information, may actually play a major role in shaping public opinion on political issues and candidates. Some research has even argued that search results can affect the outcomes of close elections. In a study aptly titled In Google We Trust participants heavily prioritized the first page of search results, and the order of the results on that page, and continued to do so even when researchers reversed the order of the actual results."

"Rekognition indicated high confidence that 28 members of the current Congress were known arrestees. It was wrong in every case. The false positives disproportionately targeted racialized members of Congress. This, finally, has Congress's attention: members of Congress have sent some pointed questions to Amazon about its Rekognition tool and given them a deadline of Aug 20 to respond. They've also requested an immediate meeting with Jeff Bezos to discuss the topic in depth."

""AI can pick up missed cues and suggest nudges to bridge the gap in emotional intelligence and communication styles. It can identify optimal ways to discuss common problems and alleviate common misunderstandings based on these different priorities and ways of viewing the world. We could be looking at a different gender dynamics in a decade.""

""The problem," Leveson wrote in a book, "is that we are attempting to build systems that are beyond our ability to intellectually manage.""

"The system used historical data, including arrest records and electronic police reports, to forecast crime and help shape public safety strategies, according to company and city government materials. At no point did those materials suggest any effort to clean or amend the data to address the violations revealed by the DOJ. In all likelihood, the corrupted data was fed directly into the system, reinforcing the department's discriminatory practices."

"no dearth of posts related to vaccines, the top 50 Facebook pages ranked by the number of public posts they made about vaccines generated nearly half (46 percent) of the top 10,000 posts for or against vaccinations, as well as 38 percent of the total likes on those posts, from January 2016 to February of this year."

"One great way to tell the difference is to ask AI recruiting companies what they use artificial intelligence, machine learning and/or deep learning for. Hopefully the hiring firm can what it's using the new technology for and not just that it is. If not it's time to dig a bit deeper."

"Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year. However, the move by police has prompted concerns over privacy and the potential for software to introduce bias into processing of criminal evidence."

"Bias in Artificial Intelligence (AI) has been a popular topic over the last few years as AI-solutions have become more ingrained in our daily lives."

"Apart from biases in the training databases, it's hard to know how well face-recognition systems actually perform in the real world, in spite of recent gains. Anil Jain, a professor of computer science at Michigan State University who has worked on face recognition for more than thirty years, told me, "Most of the testing on the private venders' products is done in a laboratory environment under controlled settings. In real practice, you're walking around in the streets of New York. It's a cold winter day, you have a scarf around your face, a cap, maybe your coat is pulled up so your chin is partially hidden, the illumination may not be the most favorable, and the camera isn't capturing a frontal view.""

"There's a technology that could be really useful in providing a real-time measure of the effectiveness (or otherwise) of public policy. But it's so intrusive that in "normal" times we would be very hesitant to adopt it. Present times are not normal, though, so we will probably adopt it - perhaps sensibly - "just for the duration of the crisis". And then?"

"Where the researchers struck gold was by realising that a large (but not overly large pair of glasses) could act to "change the pixels" even in a real photo. By picking a pair of "geek" frames, with relatively large rims, the researchers were able to obscure about 6.5% of the pixels in any given facial picture. Printing a pattern over those frames then had the effect of manipulating the image."