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"A preliminary study finds that facial recognition algorithms struggle to identify people wearing masks. The study tested 89 commercial facial recognition algorithms, and the best had error rates between 5% and 50% in matching unmasked photos with photos of the same person wearing a digitally-applied mask. Masks both lowered the algorithms' accuracy rates and raised the number of failures to process. The more of the nose is covered by the mask the lower the algorithm's accuracy; however, error rates were generally lower with round masks; and the algorithms generally performed worse with black masks than with surgical blue ones. False positive remained stable or declined a small amount."

""Social media surveillance technologies, such as the software acquired by Michigan State Police, are often introduced under the false premise that they are public safety and accountability tools. In reality, they endanger Black and marginalized communities,""

"As reported by The Independent this week, Microsoft has been granted a patent that allows the company "to make a chatbot using the personal information of deceased people." Under the patent, Microsoft can create an artificial intelligence bot "based on images, voice data, social media posts, electronic message, and more personal information" of a deceased person."

"You're nailing the problem: the tech sales people and the politicians are all on the same drug, which is "This tech is perfect", because it's cheaper than more police. There's a lawsuit in the US because a black man was wrongly arrested based on facial recognition. Tech companies need to be held to account. One company we focused on, Clearview AI, scraped social networks - collected images of people's faces and data from publicly available information - to create its software. Facial recognition relies on artificial intelligence. It needs to study faces. And only the government - the DVLA etc - and social networking companies have access to a lot of faces."

"But it isn't just major retailers deploying facial recognition software. Backlash to private use of facial recognition culminated on Wednesday when Livonia skating rink in Michigan was accused of banning a Black teenager after its facial recognition software mistakenly implicated her in a brawl. Lamya Robinson told Fox2 that after her mom dropped her off at the skating rink last Saturday, security guards refused to let her inside, claiming her face had been scanned and the system indicated she was banned after starting a fight in March."

"Most AI programs function like a "black box." "We know exactly what a model does but not why it has now specifically recognized that a picture shows a cat," said computer scientist Kristian Kersting of the Technical University of Darmstadt in Germany to the German-language newspaper Handelsblatt. That dilemma prompted Kersting-along with computer scientists Patrick Schramowski of the Technical University of Darmstadt and Björn Deiseroth, Mayukh Deb and Samuel Weinbach, all at the Heidelberg, Germany-based AI company Aleph Alpha-to introduce an algorithm called AtMan earlier this year. AtMan allows large AI systems such as ChatGPT, Dall-E and Midjourney to finally explain their outputs."

"That algorithm can make the app powerfully addictive and fun, but like other social media platforms, it may also be cutting out whole swaths of content that you'll never get to see. I ran an experiment by creating two fresh accounts on TikTok. With these accounts, the only bias they start with is knowing my location - Toronto - which brings up content made near me."

"ow, legal redress is all very well, but it's usually beyond the resources of working artists. And lawsuits are almost always retrospective, after the damage has been done. It's sometimes better, as in rugby, to "get your retaliation in first". Which is why the most interesting news of the week was that a team of researchers at the University of Chicago have developed a tool to enable artists to fight back against permissionless appropriation of their work by corporations. Appropriately, it's called Nightshade and it "lets artists add invisible changes to the pixels in their art before they upload it online so that if it's scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways" - dogs become cats, cars become cows, and who knows what else? (Boris Johnson becoming piglet, with added grease perhaps?) It's a new kind of magic. And the good news is that corporations might find it black. Or even deadly."

"A Taiwanese American model says a well-known fashion designer uploaded a digitally altered runway photo that made her appear white. In a TikTok about the incident that has been viewed 1.8m times in the last week, Shereen Wu says Michael Costello, a designer who has worked with Beyoncé, Jennifer Lopez, and Celine Dion, posted a photo to his Instagram from a recent Los Angeles fashion show. The photo depicts Wu in the slinky black ballgown that she walked the runway in - but her face has been changed, made to appear as if she is a white woman."

"The investigation reveals extraordinary details about how disinformation is being weaponised by Team Jorge, which runs a private service offering to covertly meddle in elections without a trace. The group also works for corporate clients. Hanan told the undercover reporters that his services, which others describe as "black ops", were available to intelligence agencies, political campaigns and private companies that wanted to secretly manipulate public opinion. He said they had been used across Africa, South and Central America, the US and Europe."

"In combining these factors, we arrive at a civilization built upon a technological infrastructure that we fundamentally cannot understand. The same systems that promise us technological emancipation put the whole of society at risk. I vaguely recall a wise man once saying that only the fool builds his house upon sand. And so, how can a society maintain itself if the stones of its foundation are black boxes? Before we answer this question, let's examine the current state of affairs."

The ensuing controversy has sparked renewed debates about the ways in which algorithms can perpetuate biases, yielding unintended and often offensive results.

SilliBilliBoi - this might open up your article and portfolio piece a little more...

"But historically, these tools have been put into use only after a rigorous peer review of the raw data and statistical analyses used to develop them. Epic's Deterioration Index, on the other hand, remains proprietary despite its widespread deployment. Although physicians are provided with a list of the variables used to calculate the index and a rough estimate of each variable's impact on the score, we aren't allowed under the hood to evaluate the raw data and calculations. "