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"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."

""The AI will be trained to detect incidents such as people fighting, a group of agitated persons, people following someone else, and arguments or other abnormal behaviour," SMART lecturer and team lead Johan Barthelemy said. "It can also identify an unsafe environment, such as where there is a lack of lighting.The system will then alert a human operator who can quickly react if there is an issue.""

"It has been formed as a reaction to attempts by major tech platforms to clamp down on coronavirus disinformation - but the same tech outlets also help enable its reach: the Light's distribution relies on a 5,000-strong private Facebook group where volunteers offer to hand out copies and post them through their neighbours' doors."

"or its latest update, which it released Wednesday, the COVID-19 Scenario Modeling Hub combined nine different mathematical models from different research groups to get an outlook for the pandemic for the next six months. "Any of us who have been following this closely, given what happened with delta, are going to be really cautious about too much optimism," says Justin Lessler at the University of North Carolina, who helps run the hub. "But I do think that the trajectory is towards improvement for most of the country," he says. The modelers developed four potential scenarios, taking into account whether or not childhood vaccinations take off and whether a more infectious new variant should emerge. "

"Why? Because it has an internal app store that puts its young player base to work making virtual stuff and selling it for scrip or peanuts while the company pockets the profits. It even promotes the far-right personalities and groups using it to recruit. It is a ruthless money machine that embodies the perverse incentives of social media, aimed directly at children and operated by amoral reptiles."

"Tech companies around the world appeared to listen. The very public and very swift removal of Russian channels on social media represented a sea change from years of prior content moderation decisions, when government requests for removals were often done with less fanfare and were frequently met with ire from human rights groups."

"A report by investigators from the Digital Forensic Lab, a global network of digital forensic researchers run by US-based thinktank the Atlantic Council, reveals how pro-Russian Facebook pages in Mali coordinated support for anti-democracy protests and the Wagner group, a controversial Russian private military contractor that was invited into the unstable country last year after the overthrow of President Bah N'daw by the military."

"In one case, a government campaign aimed at helping young people off benefits was targeted at Facebook users with interests including "afro-textured hair" and the "West Indies cricket team". Other campaigns have targeted LGBTQ+ content at people interested in "genderqueer" issues and the TV show RuPaul's Drag Race; council support services at people interested in "hijabs" and "Islamic dietary requirements"; and an appeal for witnesses to a murder in Manchester aimed at people interested in "hip-hop", "rapping", Kim Kardashian and Usain Bolt. The "microtargeting" is revealed in analysis of more than 12,000 ads which ran on Facebook and Instagram between late 2020 and 2023. Supplied to UK academics by Facebook's parent company Meta, and shared with the Observer, the data gives an insight into the use of targeted advertising by the state based on profiling by the world's biggest social media company. In 2021, Facebook announced a ban on targeting based on race, religion and sexual orientation amid concerns about discrimination, which led to the removal of several interest categories that had been used by advertisers to reach and exclude minority groups."

"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."

"The campaign's most organized form involves a database set up by anonymous activists that lists targets in the military, their photos, their locations, and how they have offended. Offenders are ranked by "traitor level," from "elite" to "low." Individuals have also taken social punishment into their own hands by creating Facebook groups and viral posts that share the identities of military family members or supporters. For the anti-coup population living abroad, the main objective is to get generals' family members living outside the country deported and their assets frozen. Within Myanmar, the goal is social and economic pressure, with boycotts on businesses and brands, and hopes that social shaming will convince military affiliates to work against their families and support the Civil Disobedience Movement."

"Scientists are fascinated by ant colonies because they can form collectives called "superorganisms" that function as single organisms do. Investigation into how ants behave has revealed more about how such group behavior arises, and some researchers are using that knowledge to help build smarter robot swarms, said Simon Garnier, a scientist who studies animal behavior at the New Jersey Institute of Technology."

"According to these internal documents, SIAM is a computer system that works behind the scenes of Iranian cellular networks, providing its operators a broad menu of remote commands to alter, disrupt, and monitor how customers use their phones. The tools can slow their data connections to a crawl, break the encryption of phone calls, track the movements of individuals or large groups, and produce detailed metadata summaries of who spoke to whom, when, and where. Such a system could help the government invisibly quash the ongoing protests - or those of tomorrow - an expert who reviewed the SIAM documents told The Intercept."

"Will this AI take jobs from artists? Where does copyright law land? Can machines ever truly produce something original? Should I feel guilty for making a picture of Tony Soprano having a cappuccino with Shrek and sharing it with my group chat?"

""Western partners trusted me to distribute stuff, give them actionable feedback and then adapt the product to Ukrainian conditions," he explains during a trip back to San Francisco to harness help from local software engineers. He still spends part of his time in the fragments of the Donbas region that remain under Ukrainian control, so that he can observe his "customers" - Ukrainian soldiers - in action, in order to develop products they can use. "I like to say this is the world's first open-source war," says Oleg Rogynskyy, 35, another Ukrainian who runs a Silicon Valley start-up. He is also helping the Ukrainian cause and exchanging ideas with other computing engineers on social media sites, message groups such as Signal, and GitHub, the platform where coders exchange ideas."

"Shoppers are being deceived because social media platforms and messaging apps are not doing enough to prevent a "cottage industry of fraudsters" soliciting fake reviews, according to Amazon. Fake reviews have become one of the most persistent scourges of online retailers, and some analysts think that about one in seven reviews in the UK are not the real deal, with blame often directed at groups that proliferate on Facebook. Last year Amazon alone blocked 200m fake reviews. Dharmesh Mehta, head of the company's customer trust team, said this avalanche of misinformation was harming consumers, who were being "deceived about what products they should or shouldn't be buying"."

"Now, as more people use AI to produce and publish content, an obvious question arises: What happens as AI-generated content proliferates around the internet, and AI models begin to train on it, instead of on primarily human-generated content? A group of researchers from the UK and Canada have looked into this very problem and recently published a paper on their work in the open access journal arXiv. What they found is worrisome for current generative AI technology and its future: "We find that use of model-generated content in training causes irreversible defects in the resulting models.""

"Campaigners fear the face-scanning technology could be used against protesters, and that police have done so before. The Met insisted the technology would not be used to quell lawful protest or target activists. But campaign groups do not believe them. Britain's biggest force said: "It is not used to identify people who are linked to, or have been convicted of, being involved in protest activity." A leading academic expert said the number of people whose faces would be scanned would make it the largest deployment yet of live facial recognition (LFR) in the UK."

"This article discusses the legal implications of a novel phenomenon, namely, digital reincarnations of deceased persons, sometimes known as post-mortem avatars, deepfakes, replicas, holographs, or chatbots. To elide these multiple names, we use the term 'ghostbots'. The piece is an early attempt to discuss the potential social and individual harms, roughly grouped around notions of privacy (including post-mortem privacy), property, personal data and reputation, arising from ghostbots, how they are regulated and whether they need to be adequately regulated further. For reasons of space and focus, the article does not deal with copyright implications, fraud, consumer protection, tort, product liability, and pornography laws, including the non-consensual use of intimate images ('revenge porn'). This paper focuses on law, although we fully acknowledge and refer to the role of philosophy and ethics in this domain."

"While the systemic brutality used by Colombian police to quell national protests in 2021 was real and is well documented, photos recently used by Amnesty International to highlight the issue were not. The international human rights advocacy group has come under fire for posting images generated by artificial intelligence in order to promote their reports on social media - and has since removed them. The images, including one of a woman being dragged away by police officers, depict the scenes during protests that swept across Colombia in 2021. But any more than a momentary glance at the images reveals that something is off."

"Sam Smith, of the health data privacy group MedConfidential, said: "This is an utterly appalling case. It's an individual problem that the doctor did this. But it's a systemic problem that they could do it, and that flaws in the way the NHS's data management systems work meant that any doctor can do something like this to any patient."