Low trust remains a significant barrier to Autonomous Vehicle (AV) adoption. To design trustworthy AVs, we need to better understand the individual traits, attitudes, and experiences that impact people's trust judgements. We use machine learning to understand the most important factors that contribute to young adult trust based on a comprehensive set of personal factors gathered via survey (n = 1457). Factors ranged from psychosocial and cognitive attributes to driving style, experiences, and perceived AV risks and benefits. Using the explainable AI technique SHAP, we found that perceptions of AV risks and benefits, attitudes toward feasibility and usability, institutional trust, prior experience, and a person's mental model are the most important predictors. Surprisingly, psychosocial and many technology- and driving-specific factors were not strong predictors. Results highlight the importance of individual differences for designing trustworthy AVs for diverse groups and lead to key implications for future design and research.

Rapid advances in the capabilities of large language models (LLMs) have raised widespread concerns regarding their potential for malicious use. Open-weight LLMs present unique challenges, as existing safeguards lack robustness to tampering attacks that modify model weights. For example, recent works have demonstrated that refusal and unlearning safeguards can be trivially removed with a few steps of fine-tuning. These vulnerabilities necessitate new approaches for enabling the safe release of open-weight LLMs. We develop a method, called TAR, for building tamper-resistant safeguards into open-weight LLMs such that adversaries cannot remove the safeguards even after thousands of steps of fine-tuning. In extensive evaluations and red teaming analyses, we find that our method greatly improves tamper-resistance while preserving benign capabilities. Our results demonstrate that tamper-resistance is a tractable problem, opening up a promising new avenue to improve the safety and security of open-weight LLMs.

People can generally spot when videos of famous politicians giving speeches are actually AI-generated deepfakes. But we have more trouble discerning counterfeits from reality when listening to audio or reading supposed text transcripts. "Audio deepfakes are, in my opinion, a little more dangerous in the current time because visual deepfakes are still harder to create," says Aruna Sankaranarayanan at the Massachusetts Institute of Technology.

A billionaire relative of California Gov. Gavin Newsom's wife is hosting a major fundraiser for former President Trump in California on Friday, according to reports. Tom and Stacey Siebel are hosting a fundraiser in the Bay Area community of Woodside for Trump on Friday afternoon. Tom Siebel, a billionaire software developer and CEO of his own enterprise AI software company, C3.ai, is a second cousin once removed of Jennifer Siebel Newsom, the wife of Democratic Gov. Gavin Newsom, the Los Angeles Times reported. Tom Siebel has donated hundreds of thousands of dollars to Trump's 2024 campaign and PACs supporting the Republican nominee, according to the Times and the San Francisco Gate. Newsom has been a vocal critic of Trump and was a surrogate for President Biden's now-defunct re-election campaign.

In 2024, online conspiracy theories can feel almost impossible to avoid. Podcasters, prominent public figures, and leading political figures have breathed oxygen into once fringe ideas of collusion and deception. Nationwide, nearly half of adults surveyed by the polling firm YouGov said they believe there is a secret group of people that control world events. Nearly a third (29%) believe voting machines were manipulated to alter votes in the 2020 presidential election. A surprising amount of Americans think the Earth is flat.

Tech expert Kurt Knutsson reveals how scientists developed a method for robots to sense touch using AI and sensors. Most Americans do not believe artificial intelligence (AI) is trustworthy for election information. A poll released Thursday by The Associated Press-NORC Center for Public Affairs Research and USAFacts found that just under two-thirds of Americans do not trust generative predictions produced by AI. Approximately 64% of respondents responded to the survey saying that they are not confident that election information generated by AI chatbots is reliably factual. Text from the ChatGPT page of the OpenAI website is shown in this photo.

Pope Francis, on a visit to Singapore, has warned of the negative effects of artificial intelligence (AI) on society and called for "fair" wages for migrant workers. The comments by the head of the Catholic Church came on Thursday as the high-tech city-state became his final stop on a 12-day Asia Pacific tour. Technology developments risk isolating individuals and putting them into a false reality, Francis said, adding that AI should be used to bring people closer together and to promote understanding and solidarity within society. He also cautioned that AI should not make people forget about what is important: human relationships. This is not the first time the 87-year-old pontiff has weighed in on AI.

Soon after Joe Biden announced he was ending his bid for re-election, misinformation started spreading online about whether a new candidate could take the president's place. Screenshots that claimed a new candidate could not be added to ballots in nine states moved quickly around Twitter, now X, racking up millions of views. The Minnesota secretary of state's office began getting requests for fact-checks of these posts, which were flat-out wrong – ballot deadlines had not passed, giving Kamala Harris plenty of time to have her name added to ballots. When users asked the artificial intelligence tool whether a new candidate still had time to be added to ballots, Grok gave the incorrect answer. Finding the source – and working to correct it – served as a test case of how election officials and artificial intelligence companies will interact during the 2024 presidential election in the US amid fears that AI could mislead or distract voters.

Despite this reputation among rank-and-file service members--and maybe because of it--Flash has also become a source of some controversy among the upper echelons of Ukraine's military, he tells me. The Armed Forces of Ukraine declined multiple requests for comment, but Flash and his colleagues claim that some high-ranking officials perceive him as a security threat, worrying that he shares too much information and doesn't do enough to secure sensitive intel. As a result, some refuse to support or engage with him. Others, Flash says, pretend he doesn't exist. Either way, he believes they are simply insecure about the value of their own contributions--"because everybody knows that Serhii Flash is not sitting in Kyiv like a colonel in the Ministry of Defense," he tells me in the abrasive fashion that I've come to learn is typical of his character.

Iran's Foreign Minister Abbas Araghchi condemned allegations by Western countries that Tehran has supplied ballistic missiles to Russia for use against Ukraine, claiming that the US and its allies were acting on "faulty intelligence". He called the US, the UK, France and Germany "sanctions addicts", referring to announcements on Tuesday that they would be punishing the alleged transfers of missiles to Russia with sanctions, including on national carrier Iran Air. Lammy said during his trip to Kyiv that the UK would provide "hundreds of additional air defence missiles, tens of thousands of additional artillery ammunition rounds and more armoured vehicles to Ukraine by the end of the year". Lithuania's Defence Minister Laurynas Kasciunas said NATO aircraft based in the Baltic states should shoot down Russian drones that drift into their airspace after a Russian drone crashed in Latvia last week. NATO aircraft "must not only patrol but also, if necessary, if possible destroy the drones," he said.