Group items tagged

"research consistently shows that social media is exploited to facilitate political intimidation and violence. What's more, certain features of social media platforms make them particularly susceptible to such exploitation, and some of those features can be changed to reduce the danger. "

"Russia propaganda group behind fake Kamala Harris hit-and-run story, says Microsoft Microsoft researchers found that the group created a video, paid an actor to appear as the alleged victim, and spread the claim through a fake website"

"But as a growing body of research shows, these electronic systems are not perfect. Our new study shows how often these technology-related errors occur and what they mean for patient safety. Often they occur due to programming errors or poor design and are less to do with the health workers using the system."

"That's why the best systems may come from a combination of AI and human work; we can play to the machine's strengths, Ilievski says. But when we want to compare AI and the human mind, it's important to remember "there is no conclusive research providing evidence that humans and machines approach puzzles in a similar vein", he says. In other words, understanding AI may not give us any direct insight into the mind, or vice versa."

"We demand a stop to addictive design features - Also known as the social slot machine. Ninety-five percent of teens in the US have or have access to a smartphone, while ninety percent have a desktop or laptop computer and eighty-three percent have a gaming console, a survey from the Pew Research Institute found. The data also found that roughly one in six teens describe their use of two platforms - YouTube and TikTok - as "almost constant.""

"Or, as the New York Times summarised it, "doctors who were given ChatGPT-4 along with conventional resources did only slightly better than doctors who did not have access to the bot. And, to the researchers' surprise, ChatGPT alone outperformed the doctors." More interesting, though, were two other revelations: the experiment demonstrated doctors' sometimes unwavering belief in a diagnosis they had made, even when ChatGPT suggested a better one; and it also suggested that at least some of the physicians didn't really know how best to exploit the tool's capabilities. Which in turn revealed what AI advocates such as Ethan Mollick have been saying for aeons: that effective "prompt engineering" - knowing what to ask an LLM to get the most out of it - is a subtle and poorly understood art."

"Microsoft researchers said VALL-E 2 was capable of generating "accurate, natural speech in the exact voice of the original speaker, comparable to human performance," in a paper that appeared June 17 on the pre-print server arXiv. In other words, the new AI voice generator is convincing enough to be mistaken for a real person - at least, according to its creators."

"A source told Reuters that OpenAI has tested a model internally that achieved a 90 percent score on a challenging test of AI math skills, though it again couldn't confirm if this was related to project Strawberry. But another two sources reported seeing demos from the Q* project that involved models solving math and science questions that would be beyond today's leading commercial AIs."

"Seeing an opportunity, Franklin decided to take advantage. On 9 July, the company said that it would begin to support digital employees as part of its platform and treat them like any other employee. "Today Lattice is making AI history," Franklin pronounced. "We will be the first to give digital workers official employee records in Lattice. Digital workers will be securely onboarded, trained and assigned goals, performance metrics, appropriate systems access and even a manager. Just as any person would be." The pushback was swift - and, in many cases, brutal, particularly on LinkedIn, which is generally not known for its savage engagement like X (formerly known as Twitter). "This strategy and messaging misses the mark in a big way, and I say that as someone building an AI company," said Sawyer Middeleer, an executive at a firm that uses AI to help with sales research, on LinkedIn. "Treating AI agents as employees disrespects the humanity of your real employees. Worse, it implies that you view humans simply as 'resources' to be optimized and measured against machines. It's the exact opposite of a work environment designed to elevate the people who contribute to it.""

"While Trump shared AI-generated images in the past week, he also falsely claimed that a genuine image of one of Harris's campaign rallies was the result of artificial intelligence and that the well-documented event never took place. His claim reflected a concept which disinformation researchers call the "liar's dividend", in which an increase in manipulated content leads to general skepticism of all media and makes it easier for people such as politicians to dismiss authentic images, audio or video as fake."

"Students using ChatGPT solved 48% more of the problems correctly, and those with the AI tutor solved 127% more problems correctly, according to the report. But their peers who did not use ChatGPT outscored them on the related tests. In fact, students using ChatGPT scored 17% worse on tests.  Kids working on their own performed the same on practice assignments and tests.  Researchers told The Hechinger Report that students are using the chatbot as a "crutch" and that it can "substantially inhibit learning.""

"Researchers at the University of Pennsylvania found that Turkish high school students who had access to ChatGPT while doing practice math problems did worse on a math test compared with students who didn't have access to ChatGPT. Those with ChatGPT solved 48 percent more of the practice problems correctly, but they ultimately scored 17 percent worse on a test of the topic that the students were learning. "

"In one activity, my students drafted a paragraph in class, fed their work to ChatGPT with a revision prompt, and then compared the output with their original writing. However, these types of comparative analyses failed because most of my students were not developed enough as writers to analyze the subtleties of meaning or evaluate style. "It makes my writing look fancy," one PhD student protested when I pointed to weaknesses in AI-revised text. My students also relied heavily on AI-powered paraphrasing tools such as Quillbot. Paraphrasing well, like drafting original research, is a process of deepening understanding. Recent high-profile examples of "duplicative language" are a reminder that paraphrasing is hard work. It is not surprising, then, that many students are tempted by AI-powered paraphrasing tools. These technologies, however, often result in inconsistent writing style, do not always help students avoid plagiarism, and allow the writer to gloss over understanding. Online paraphrasing tools are useful only when students have already developed a deep knowledge of the craft of writing."

"Writing in the journal Science, Summerfield and colleagues from Google DeepMind report how they built the "Habermas Machine" - an AI system named after the German philosopher Jürgen Habermas. The system works by taking written views of individuals within a group and using them to generate a set of group statements designed to be acceptable to all. Group members can then rate these statements, a process that not only trains the system but allows the statement with the greatest endorsement to be selected."

"But what is pitched as a more convenient way of looking up information online has prompted scrutiny over how and where these chatbots select the information they provide. Looking into the sort of evidence that large language models (LLMs, the engines on which chatbots are built) find most convincing, three computer science researchers from the University of California, Berkeley, found current chatbots overrely on the superficial relevance of information. They tend to prioritise text that includes pertinent technical language or is stuffed with related keywords, while ignoring other features we would usually use to assess trustworthiness, such as the inclusion of scientific references or objective language free of personal bias."

"Imagine sitting down with an AI model for a spoken two-hour interview. A friendly voice guides you through a conversation that ranges from your childhood, your formative memories, and your career to your thoughts on immigration policy. Not long after, a virtual replica of you is able to embody your values and preferences with stunning accuracy. That's now possible, according to a new paper from a team including researchers from Stanford and Google DeepMind, which has been published on arXiv and has not yet been peer-reviewed."

"The research, conducted at Vision and AI Lab of the Department of Computational and Data Sciences, offers a novel approach to mitigating bias in popular image-generative models without the need for additional data or model retraining."

"The researchers found that the cost of the computational power required to train the models is doubling every nine months. This is a prodigious rate of growth-at this rate, the cost of the hardware and electricity needed to build cutting-edge AI systems alone would be in the billions by later this decade, without accounting for other costs such as employee compensation."

"Our findings show that both model and user behaviors can influence social and emotional outcomes. Effects of AI vary based on how people choose to use the model and their personal circumstances. This research provides a starting point for further studies that can increase transparency, and encourage responsible usage and development of AI platforms across the industry."

"While the Trump administration's scrubbing of federal web pages presents a notable example of the severed links issue, it's long been an epidemic. A Pew Research Center study published last year found that roughly 38% of web pages on the internet that existed in 2013 were no longer accessible as of 2023. According to a Harvard Law Review study published in 2014, about half of all links cited in U.S. Supreme Court opinions no longer led to the original source material. Kahle, who early on recognized the ephemeral nature of the web, said the rapid deterioration of the living web is a serious threat to historical preservation. "We're building our culture on shifting sands," he said."