Group items tagged

"A "massive anti-vaccination campaign" has been cited by the European Commission as a reason for social media platforms to intensify their factchecking and revise the internal algorithms that can amplify disinformation. Under a revised code of practice proposed by Brussels, companies such as Facebook, Google and Twitter would need to show why particular material is disseminated and prove that false information is being blocked."

"Whereas most machine learning algorithms can't hone their skills beyond an initial training period, the researchers say the new approach, called a liquid neural network, has a kind of built-in "neuroplasticity." That is, as it goes about its work-say, in the future, maybe driving a car or directing a robot-it can learn from experience and adjust its connections on the fly."

"Will Knight wrote. "Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey… . The car didn't follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it. "Getting a car to drive this way was an impressive feat. But it's also a bit unsettling, since it isn't completely clear how the car makes its decisions…. What if one day it did something unexpected-crashed into a tree, or sat at a green light? As things stand now, it might be difficult to find out why." "

"The point of creating this vast portfolio of digital gun art is to feed an algorithm made to detect a firearm as soon as a security camera catches it being drawn by synthetically creating tens of thousands of ways each gun may appear. Arcarithm is one of several companies developing automated active shooter detection technology in the hopes of selling it to schools, hotels, entertainment venues and the owners of any location that could be the site of one of America's 15,000 annual gun murders and 29,000 gun injuries."

"YouTube viewers are being asked to become "watchdogs" and record their use of the site to help uncover the ways in which its recommendation algorithm can lead to online radicalisation."

""Employers are increasingly exploiting metadata logged by software and devices for performance analytics and algorithmic control," Christl added. "MS is providing the tools for it. Practices we know from software development (and factories and call centres) are expanded to all white-collar work.""

"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"."

"My job was to use technology to make the low-level content moderators' work more efficient. For example, we created a tool that allowed them to throw a video clip into our database and search for similar content. When I was at ByteDance, we received multiple requests from the bases to develop an algorithm that could automatically detect when a Douyin user spoke Uyghur, and then cut off the livestream session. The moderators had asked for this because they didn't understand the language. Streamers speaking ethnic languages and dialects that Mandarin-speakers don't understand would receive a warning to switch to Mandarin."

"That can include statistical or machine learning algorithms that rely on police records detailing the time, location, and nature of past crimes in a bid to predict if, when, where, and who may commit future infractions. In theory, this should help authorities use resources more wisely and spend more time policing certain neighborhoods that they think will yield higher crime rates."

"As the lava lamps bubble and swirl, a video camera on the ceiling monitors their unpredictable changes and connects the footage to a computer, which converts the randomness into a virtually unhackable code.  Why use lava lamps for encryption instead of computer-generated code? Since computer codes are created by machines with relatively predictable patterns, it is entirely possible for hackers to guess their algorithms, posing a security risk. Lava lamps, on the other hand, add to the equation the sheer randomness of the physical world, making it nearly impossible for hackers to break through."

"a word that does not exist; it was invented, defined and used by a machine learning algorithm. "

"But the technology raises important issues of governance, justice and fairness. In recent months, the Black Lives Matter movement has taken action to address what it sees as an abuse of police power and surveillance technology. Facing reputational and financial costs, several major tech companies stopped developing facial recognition or selling it to the police. Microsoft went as far as petitioning the US Congress to legislate against it."

"However, since machine learning algorithms are what they eat (in other words, they function based on the training data they ingest), they inevitably end up picking up on human biases that exist in language data itself."

"As part of her undergraduate research, Alice Xue studied whether a machine could pass a Visual Turing Test by producing images that people cannot tell were made by a machine. Xue trained an algorithm using 2,192 traditional Chinese landscape paintings collected from art museums. The resulting AI-generated paintings were mistaken for being made by humans 55 per cent of the time."

"This week, the company released a new form of facial recognition called periocular recognition, which can supposedly identify individuals by just their eyes and eyebrows. Rank One says the new system uses an entirely different algorithm from its standard facial recognition system and is specifically meant for masked individuals. Rank One says it will ship the technology to all of its active customers for free."

"As adolescents and young adults fled Facebook for platforms like Instagram and Snapchat, Facebook knew its long-term survival depended on winning over that demographic. But the savvy business move had a different, less public price tag. Caught up in recommendations from a powerful algorithm designed to keep them engaged, some teen girls found Instagram worsened their body image, according to a new Wall Street Journal investigation. Users even pinned feelings of increased depression, anxiety, and suicidal thinking on the app."

"People have been censored or blocked from the platform because their names sounded too fake. Ads for clothing disabled people we removed buy algorithms that believed they were breaking the rules and promoting medical devices. The Vienna Tourist Board had to move to adult content friendly site OnlyFans to share works of art from their museum after Facebook removed photos of paintings. Words that have rude popular meanings but other more specific definitions in certain circles - like "hoe" amongst gardeners, or "cock" amongst chicken farmers or gun enthusiasts - can land people in the so-called "Facebook jail" for days or even weeks."

"PhotoGuard works by altering select pixels in an image such that they will disrupt an AI's ability to understand what the image is. Those "perturbations," as the research team refers to them, are invisible to the human eye but easily readable by machines. The "encoder" attack method of introducing these artifacts targets the algorithmic model's latent representation of the target image - the complex mathematics that describes the position and color of every pixel in an image - essentially preventing the AI from understanding what it is looking at."

"So if we put those three findings together, what do we get? * Small groups of * ageing * right-wingers * on their desktop computers (because this study wasn't-couldn't be-carried out on mobile, only desktop) ..get their information from unreliable, partisan news sites. The study doesn't say whether they then go on to share it on Facebook or on their Twitter account grumpyboomer032945231, but it's not hard to imagine that's what happens. This isn't to let the search algorithms off the hook either, but does go to show that the real problem, as ever, lies with the humans."