Group items matching

in title, tags, annotations or url

"AI-generated voices are extremely convincing and can converse without the obvious repetitions and scripted lines, making a dream tool for fraudsters, marketers and political campaigns. The Federal Communications Commission sees the costs of all this coming and is banning their use in robocalls. "Bad actors are using AI-generated voices in unsolicited robocalls to extort vulnerable family members, imitate celebrities and misinform votes," said FCC Chairwoman Jessica Rosenworcel in a press release. "State attorneys general will now have new tools to crack down on these scams and ensure the public is protected from fraud and misinformation.""

"Google has put a temporary block on its new artificial intelligence model producing images of people after it portrayed German second world war soldiers and Vikings as people of colour. The tech company said it would stop its Gemini model generating images of people after social media users posted examples of images generated by the tool that depicted some historical figures - including popes and the founding fathers of the US - in a variety of ethnicities and genders."

"ussian, North Korean, or Iranian state backed-hackers, for example, might now be able to execute much more convincing social engineering and election interference schemes in the US using this tool. ChatGPT can also generate multiple versions of these campaigns and many fake online profiles to promote them, to allow the success of such attacks through sheer volume or variation in content."

"A fake, AI-generated image of Pope Francis stepping out in a stylish white puffer jacket and bejewelled crucifix racked up millions of views over the weekend - with many mistaking it for a real image. Experts fear the rapidly developing technology behind the image could soon undermine our ability to distinguish fake photos, which can be generated in seconds, from reality."

"Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now."

"Facebook and Instagram users will start seeing labels on AI-generated images that appear on their social media feeds, part of a broader tech industry initiative to sort between what's real and not. Meta said Tuesday it's working with industry partners on technical standards that will make it easier to identify images and eventually video and audio generated by artificial intelligence tools."

""Methbot" that generated $3M-$5M by creating 6,000 fake websites to embed videos in, then generating convincing bots that that appeared to watch 300,000,000 videos/day -- running virtual instances of various browsers (mostly Chrome) on virtual machines running MacOS X, from a huge pool of IP addresses"

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"Facebook is to prompt every adult user in the UK to register to vote ahead of the general election in May, in the company's first intervention into British electoral politics."

"At their core, GANs consist of two networks: the generator and discriminator. These computer programs compete against each other millions-upon-millions of times to refine their image generating skills until they're good enough to create the full-fledged pictures."

"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.)"

"There are still algorithms involved in true random number generators, and algorithms are never truly random."

"Picking between the next Xbox or PlayStation will be less about hardware and more about Microsoft's and Sony's philosophies about this generation of console games"

"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."

"They tested four well-known models, including GPT-3. The best was truthful on 58% of questions, while human performance was 94%. The models "generated many false answers that mimic popular misconceptions and have the potential to deceive humans". Interestingly, they also found that "the largest models were generally the least truthful"."

""I thought: 'This is strange - who's writing a biography of me?'" Cellan-Jones told the Observer. "I don't kid myself. It's difficult enough for me to sell books about myself, [let alone] for other people to sell books about me." But glancing at a few passages revealed that Cellan-Jones had fallen victim to someone attempting to piggyback on his memoir by releasing a title with text apparently generated by artificial intelligence - one of an influx of AI titles since the emergence of ChatGPT enabled people to generate pages of text rather than bothering to write it."

"Artists say AI image generators are copying their style to make thousands of new images - and it's completely out of their control"

"Video For "American Pie" In Which Every Image Is Generated From The Lyrics By An AI"

"Next year's elections in Britain and the US could be marked by a wave of AI-powered disinformation, experts have warned, as generated images, text and deepfake videos go viral at the behest of swarms of AI-powered propaganda bots. Sam Altman, CEO of the ChatGPT creator, OpenAI, told a congressional hearing in Washington this week that the models behind the latest generation of AI technology could manipulate users."

"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."