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"Unlike other companies, Zebra's algorithms provide an actual diagnosis, completely automatically using only imaging data. This is a very new field - older technology was always driven by the radiologist, and never automatic. The algorithms are part of the Zebra Analytics Platform - a cloud based analytics engine that receives medical imaging studies, analyzes them and returns results to participating hospitals and physicians."

"GliaCloud's product, GliaStudio, uses artificial intelligence to automatically create video summaries of text articles. What it does is analyze and summarize a text story and generate a video out of the data - complete with voiceover as well as photos and video clips from its content partners and public sources."

"To thwart such hackers, Elon Musk's OpenAI and Pennsylvania State University released a new tool this week called "cleverhans," that lets artificial intelligence researchers test how vulnerable their AI is to adversarial examples, or purposefully malicious data meant to confuse the algorithms. Once the vulnerability has been found, a defense to the attack can automatically be applied."

"Currently, the law treats machines as if they were all created equal, as simple consumer products. In most cases, when an accident occurs, standards of strict product liability law apply. In other words, unless a consumer uses a product in an outrageous way or grossly ignores safety warnings, the manufacturer is automatically considered at fault."

"Jaron Lanier, the author and inventor of the concept of virtual reality, warned that digital infrastructure was moving beyond human control. He said: "When you try to achieve great scale with automation and the automation exceeds the boundaries of human oversight, there is going to be failure. That goes for governments, for consumer companies, for Google, or a big insurance company. It is infuriating because it is driven by unreasonable greed. In many cases, the systems that tend to fail, fail because of an attempt to make them run automatically with a minimal amount of human oversight.""

"But TURBINE, which was carried out with other "Five Eyes" spy agencies as part of the NSA's $67.6M "Owning the Net" plan, is intended to automate the infection process, allowing for "millions" of infections at once. "

"Branded as "Tox", the tool lets anyone, regardless of technical ability, automatically create ransomware: software which encrypts a victim's hard drive and demands payment before decrypting it."

"Big data and artificial intelligence are some of today's most popular buzzwords. Both are promised to help deliver insights that were previously too complex for computer systems to calculate. With examples ranging from personalised recommendation systems to automatic facial analyses, user-generated data is now analysed by algorithms to identify patterns and predict outcomes. And the common view is that these developments will have a positive impact on society."

"Google says that will prevent the company from remembering where you've been. Google's support page on the subject states: "You can turn off Location History at any time. With Location History off, the places you go are no longer stored." That isn't true. Even with "location history" paused, some Google apps automatically store time-stamped location data without asking."

"Automatically produced texts use language models derived from statistical analysis of vast corpuses of human-generated text to produce machine-generated texts that can be very hard for a human to distinguish from text produced by another human. These models could help malicious actors in many ways, including generating convincing spam, reviews, and comments -- so it's really important to develop tools that can help us distinguish between human-generated and machine-generated texts."

"Then came the algorithm, which used automatic speech recognition to detect specific features and patterns in each of the 48 recordings. It was clear from examining the waveforms of the cries that each category had a specific pattern."

"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."

"When you take a photo, your smartphone or digital camera stores "metadata" within the image file. This automatically and parasitically burrows itself into every photo you take. It is data about data, providing identifying information such as when and where an image was captured, and what type of camera was used."

"In 2016, Danish politician Mette Gjerskov used Facebook to post a link to her own blog post on the TV2 website, which included an image of the statue. Facebook automatically displayed the image with the link, leading the company to then take down the link. The explanation provided by Facebook was that the image had "too much bare skin or sexual undertones.""

"AI software can now match footage of motorists throwing rubbish to their car's number plate and issue an automatic fine of £90. The first trial of the potentially controversial new system will begin in Maidstone in Kent in a few weeks with other councils expected to follow."

"Researchers fed these algorithms (which function like autocomplete, but for images) pictures of a man cropped below his neck: 43% of the time the image was autocompleted with the man wearing a suit. When you fed the same algorithm a similarly cropped photo of a woman, it auto-completed her wearing a low-cut top or bikini a massive 53% of the time. For some reason, the researchers gave the algorithm a picture of the Democratic congresswoman Alexandria Ocasio-Cortez and found that it also automatically generated an image of her in a bikini. (After ethical concerns were raised on Twitter, the researchers had the computer-generated image of AOC in a swimsuit removed from the research paper.)"

"Take Yoti, for instance: the company provides a range of age verification services, partnering with CitizenCard to offer a digital version of its ID, and working with self-service supermarkets to experiment with automatic age recognition of individuals. John Abbott, Yoti's chief business officer, says the system is already as good as a person at telling someone's age from a video of them, and has been tested against a wide range of demographics - including age, race and gender - to ensure that it's not wildly miscategorising any particular group. The company's most recent report claims that a "Challenge 21" policy (blocking under-18s by asking for strong proof of age from people who look under 21) would catch 98% of 17-year-olds, and 99.15% of 16 year olds, for instance."

"But users began to spot flaws in the feature over the weekend. The first to highlight the issue was PhD student Colin Madland, who discovered the issue while highlighting a different racial bias in the video-conference software Zoom. When Madland, who is white, posted an image of himself and a black colleague who had been erased from a Zoom call after its algorithm failed to recognise his face, Twitter automatically cropped the image to only show Madland."