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"John became increasingly radicalised by an online barrage of far-right disinformation. "Posts of homeless British soldiers were set against Muslim families being given free homes. Now I know the posts were all fake, but the 15-year-old me didn't bother to fact-check." The worry is that John's contemporaries won't either. A surge of online extremism and disinformation has arrived at a time of lockdown-induced isolation, loneliness and home-schooling, creating what police call a "perfect storm". One British far-right group has even started pushing an alternative white-supremacist school curriculum for lockdown learning."

"Facebook has said it will start labelling misinformation about the climate crisis in a small trial limited to the UK. Labels will be attached to certain posts directing users to Facebook's Climate Science Information Center, a repository of fact-checked claims about the environment. The company has not yet said how it will decide which posts receive the label, but the process is similar to that used in the US election when it attempted to algorithmically discern posts that shared common myths or misconceptions, and appended a link taking users to a "voting information centre"."

""How are we going to trust anything electronically mediated in the very near future? What do we do when anyone can imitate anyone else, for any reason that suits them?""

"The answer is simple: nobody, including opinion pollsters, knew about the Trump campaign's astonishing mastery of social media, especially Facebook. Trump may not have known much about that at the time - he really only understood Twitter - but Brad Parscale and his team sure knew how to make use of Facebook's micro-targeting machine. And they did."

"As a society, we should care not just about how much innovation takes place, but also about the types of new technologies that are developed. We ought to ensure we are investing in technologies that are safe, environmentally sound, empower rather than simply replace human labor, and are consistent with democratic values and human rights."

"What Hamilton and his colleagues found surprising was that this approach could also be applied to helping find problems with existing deep networks, related to the surge of "deepfakes" that have recently cropped up. They applied this data structure to find areas where probabilistic models, such as the generative adversarial networks (GANs) that are often used to create deepfakes, break down. They coined these problematic areas "blind spots," and note that they give us insight into how GANs can be biased. Such blind spots further show that GANs struggle to represent particular areas of a dataset, even if most of their fakes can fool a human. "

"More algorithmic decision making and decision augmenting systems will be used in the coming years. Unlike the approach taken for A-levels, future systems may include opaque AI-led decision making. Despite such risks there remain no clear picture of how public sector bodies - government, local councils, police forces and more - are using algorithmic systems for decision making."

"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."

"As a society, we should care not just about how much innovation takes place, but also about the types of new technologies that are developed. We ought to ensure we are investing in technologies that are safe, environmentally sound, empower rather than simply replace human labor, and are consistent with democratic values and human rights."

"To what extent do the decisions of these types of algorithms reflect the conscious or unconscious biases of their creators?"

""This database has to be updated every 28 days, so you can see how much of a chore this has to be for an engineer to visit," Lomas said, pointing out the floppy drive - which in normal operations is tucked away behind a locked panel."

"This is a future in which, for the privileged, almost everything is home delivered, either virtually via streaming and cloud technology, or physically via driverless vehicle or drone, then screen "shared" on a mediated platform. "

"The computer had revealed a new theory about how Covid-19 impacts the body: the bradykinin hypothesis. "

"This is the biggest concern. I can't overstate how big of a problem this is. I'd be the first that wishes I could wave a magic wand and have an easy solution where all of this could be solved. A teacher I know says there's just 5 percent or 10 percent of her kids in Mountain View, Calif., who are just checked out. She can't get them to show up. She can even see that their language has degraded because they haven't spent as much time with adults or peers in an academic setting."

"The researchers suggest guidelines for efficient regulations, such that AVs can cooperate and significantly enhance traffic flow even when fewer than 5% of the vehicles on the road are autonomous, as seen in the accompanying image. In their article, the researchers describe how AVs should behave on a freeway in order to self-organize into groups that split the traffic flow into controllable clusters. It was observed that it takes less than two minutes to achieve self-organized high-speed, greener and safer traffic flow when starting from congested traffic."

"Admission algorithms can make or break your academic plans. A Washington Post investigation found 44 schools use prediction software to give applicants a score out of 100 for its admissions process. The score considers different aspects of a student's application from test scores, home address, transcripts, and even what websites they've visited. That's all calculated to rate how strong of a match a student is for a school."

"There are currently no usable photo data sets of mask-wearing people that can be used to train and evaluate facial recognition systems. The NIST study addressed this problem by superimposing masks (of various colours, sizes and positions) over images of faces, as seen here:"

"Looking back on my experience of videoconferencing, I still get an odd emotional pain. The feeling is a kind of shame. Not so much for my own wooden performance and the failure of the technology. But rather a feeling that we have all lost a bit of our humanity through it. My interest in these technologies is ethically motivated. I am not at all happy with the banal dehumanisation that results from bad videoconferencing experiences. If, for example, students and teachers can't express their humanity in education, through its technologies, then we're just not doing it right."

"The tool tracks every click and interaction by employees and presents managers with leaderboards showing relative "productivity" of each employee, down to how many mentions they get in workplace emails."

"But while CSV files can be any size, Microsoft Excel files can only be 1,048,576 rows long - or, in older versions which PHE may have still been using, a mere 65,536. When a CSV file longer than that is opened, the bottom rows get cut off and are no longer displayed. That means that, once the lab had performed more than a million tests, it was only a matter of time before its reports failed to be read by PHE."