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"Therefore even Ofqual's best model significantly worsened grade accuracy for most A-level subjects when the cohort size is below 50, which is common (almost 62% of the total in 2019). For GCSEs, even with larger cohorts, the best model would have worsened the grade accuracy for Maths and Sciences. A very conservative figure of 25% of wrong grades would have amounted to 180,000 wrong A-level grades and 1.25 million wrong GCSE grades."

"If you're doing nothing wrong, and have nothing to hide from your government, then mass surveillance holds no fears for you. This argument might be the oldest straw man in the privacy debate, but it's also a decent reflection of the state of the argument. In the UK's first major election since the Snowden revelations, privacy is a nonissue. This is a shame, because when it comes down to it, many of us who are doing nothing wrong have plenty we would prefer to hide."

"Yet in 2020, Byland had to find out secondhand that the company had abandoned the technology and was on the verge of going bankrupt. While his two-implant system is still working, he doesn't know how long that will be the case. "As long as nothing goes wrong, I'm fine," he says. "But if something does go wrong with it, well, I'm screwed. Because there's no way of getting it fixed.""

""A simple way of understanding what happened here is that you have a collision between a right to be forgotten and a right to know. From Google's perspective that's a balance," said Schmidt. "Google believes, having looked at the decision which is binding, that the balance that was struck was wrong.""

In her intervention on Friday, the Norwegian prime minister wrote that the photograph, entitled The Terror of War and featuring the naked nine-year-old Kim Phúc running away from a napalm attack, had "shaped world history". Solberg added: "I appreciate the work Facebook and other media do to stop content and pictures showing abuse and violence ... But Facebook is wrong when they censor such images."

"But with all of the successes of AI, it's also important to pay attention to when, and how, it can go wrong, in order to prevent future errors. A recent paper by Roman Yampolskiy, director of the Cybersecurity Lab at the University of Louisville, outlines a history of AI failures which are "directly related to the mistakes produced by the intelligence such systems are designed to exhibit." According to Yampolskiy, these types of failures can be attributed to mistakes during the learning phase or mistakes in the performance phase of the AI system."

"In case you're wondering what could be wrong with entrusting secret keys to the government for use "in exceptional circumstances", just ponder this: a few months ago, hackers (suspected to be Chinese) stole the personnel records of 21.5 million US federal employees, including the records of every person given a government background check for the last 15 years."

"On the surface of it, the incident is entirely trivial: in a thoughtless moment, a police officer on a surveillance helicopter decides to tweet a photo of a celebrity he's spotted (in this case Michael McIntyre), briefly adding the Metropolitan police to the ranks of London paparazzi. The Met's snap had a few features a standard press photo lacks, though, including an exact timestamp, location data, and a vantage point from an expensive and taxpayer-funded aerial spot. Online reaction to the photograph was predictably bad - why are police invading the privacy of someone who's doing nothing wrong? - and was followed by questioning whether the photo breached the Data Protection Act, which it may well have done."

"They are a modest correction against failures in algorithmic prioritisation on the indelible web. Before the requests go to the BBC, individuals must prove to Google - which has every interest in rejecting their claim - that the links contain personal information that is inaccurate, irrelevant or out of date, and holds no public interest."

"Creepy grabs all this geo-location data and puts pins on a map for you. Most of the time, you probably remember to get the privacy settings right. But if you get it wrong just once - maybe the first time you used a new app, maybe before your friend showed you how to change the settings - Creepy will find it, and your home is marked on a map"

"DNS (Domain Name System) is the system which translates web addresses, such as google.com, into an IP address, such as 74.125.224.72/. A network requires the latter to actually access a website, but if the look-up system gets confused, it can give the wrong IP address - which appears to be what happened in the Iconfactory's case. Except that rather than one DNS server messing up, it was the server for the whole of China."

Much of current science deals with even more complicated systems, and similarly lacks exact solutions. Such models have to be "computational" - describing how a system changes from one instant to the next. But there is no way to determine the exact state at some time in the future other than by "simulating" its evolution in this way. Weather forecasting is a familiar example; until the advent of computers in the 1950s, it was impossible to predict future weather faster than it actually happened.

"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."

"As we move towards this collective humanity mindset, the idea of withholding data to make ourselves feel safer becomes a moral conundrum. If our value is most derived from the data we create for AI to process and discover insights, to withhold that means we are detracting value from the whole, that we are committing something morally wrong. We're exchanging data privacy for a different kind of privacy and astonishing growth, which seems to me a pretty fair trade."

"But maybe I'm wrong. Because, if we believe tech gurus at least, the Trolley Problem is about to become of huge real-world importance. Human beings might not find themselves in all that many Trolley Problem-style scenarios over the course of their lives, but soon we're going to start seeing self-driving cars on our streets, and they're going to have to make these judgments all the time."

"These findings suggest that medical experts and policymakers probably do not need to warn patients away from the internet when it comes to seeking health information and self-diagnosis or triage. It seems that using the internet may well help patients figure out what is wrong."

"According to Derek & Laura Cabrera, "wicked problems result from the mismatch between how real-world systems work and how we think they work". With systems thinking, there is constant testing and feedback between the real world, in all its complexity, and our mental model of it. This openness to test and look for feedback led Dr. Fisman to change his mind on the airborne spread of the coronavirus."