The European Union and the United States continue to pull in opposite directions on artificial intelligence, with Washington urging other governments to loosen constraints at a recent Group of 20 ministerial meeting. On Tuesday, the US hosted a G20 "innovation" meeting in Chapel Hill, North Carolina, where it put forward arguments against AI-specific regulations. "Policymakers do not need to approach each innovation in isolation and should not treat every emerging technology as a first-of-its-kind policy problem," Kratsios said. Such appeals are part of Trump's overall approach to making the US "the world leader in artificial intelligence". He has led a campaign to slash regulations, including in AI development.

Look Up Creator Playbook Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Voices Trending Now Say More Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List Switch Off In My Bag All Series Seen an ad with an AI influencer or actor? It may be against the law. New York has a law regulating AI actors, but will Trump's FTC crack down on synthetic performers, too? Two complaints of undisclosed AI use have already been submitted to New York's AG under the new law. This screenshot was included in the Athletifreak complaint alleging the undisclosed use of synthetic performers.

Anne Fehres and Luke Conroy AI4Media Humans Do The Heavy Data Lifting Licenced by CC-BY 4.0 The Royal Statistical Society's AI Task Force has issued a critical mandate via a new paper, AI Regulation Needs Statistics, which demands that statistical principles actively shape global AI governance. The publication escalates the core argument of their foundational work, AI is Statistics . This earlier paper argued that AI is fundamentally statistical, meaning effective and ethical deployment is impossible without statistical literacy. You can watch our expert panel discuss the topic here . A major focus of that work was around the challenges of evaluating AIs, given that they are dynamic systems that continue to evolve once they have been deployed in the real world.

The "right to be forgotten" and the data privacy laws that encode it have motivated machine unlearning since its earliest days. Now, some argue that an inbound wave of artificial intelligence regulations -- like the European Union's Artificial Intelligence Act (AIA) -- may offer important new use cases for machine unlearning. However, this position paper argues, this opportunity will only be realized if researchers proactively bridge the (sometimes sizable) gaps between machine unlearning's state of the art and its potential applications to AI regulation. To demonstrate this point, we use the AIA as our primary case study. Specifically, we deliver a "state of the union" as regards machine unlearning's current potential (or, in many cases, lack thereof) for aiding compliance with various provisions of the AIA. This starts with a precise cataloging of the potential applications of machine unlearning to AIA compliance. For each, we flag the technical gaps that exist between the potential application and the state of the art of machine unlearning. Finally, we end with a call to action: for machine learning researchers to solve the open technical questions that could unlock machine unlearning's potential to assist compliance with the AIA -- and other AI regulations like it.

The right to be forgotten and the data privacy laws that encode it have motivated machine unlearning since its earliest days. Now, some argue that an inbound wave of artificial intelligence regulations -- like the European Union's Artificial Intelligence Act (AIA) -- may offer important new use cases for machine unlearning. However, this position paper argues, this opportunity will only be realized if researchers proactively bridge the (sometimes sizable) gaps between machine unlearning's state of the art and its potential applications to AI regulation. To demonstrate this point, we use the AIA as our primary case study. Specifically, we deliver a state of the union as regards machine unlearning's current potential (or, in many cases, lack thereof) for aiding compliance with the AIA. This starts with a precise cataloging of the potential applications of machine unlearning to AIA compliance. For each, we flag the technical gaps that exist between the potential application and the state of the art of machine unlearning. Finally, we end with a call to action: for machine learning researchers to solve the open technical questions that could unlock machine unlearning's potential to assist compliance with the AIA -- and other AI regulation like it.

AI regulation is seen as urgent by nearly 8 in 10 voters in a new poll, with 80% saying protecting public interests should be prioritized over promoting innovation.

Plus: how wastewater tracking could help curb measles' rise in the US. Can ChatGPT Health do better? For the past two decades, there's been a clear first step for anyone who starts experiencing new medical symptoms: Look them up online. The practice was so common that it gained the pejorative moniker "Dr. But times are changing, and many medical-information seekers are now using LLMs. According to OpenAI, 230 million people ask ChatGPT health-related queries each week.

In 2026, states will go head to head with the White House's sweeping executive order. In the final weeks of 2025, the battle over regulating artificial intelligence in the US reached a boiling point. On December 11, after Congress failed twice to pass a law banning state AI laws, President Donald Trump signed a sweeping executive order seeking to handcuff states from regulating the booming industry. Instead, he vowed to work with Congress to establish a "minimally burdensome" national AI policy, one that would position the US to win the global AI race. The move marked a qualified victory for tech titans, who have been marshaling multimillion-dollar war chests to oppose AI regulations, arguing that a patchwork of state laws would stifle innovation. In 2026, the battleground will shift to the courts.

Donald Trump, center, signs a an executive order on artificial intelligence in the Oval Office on December 11. He is joined by, from left, AI advisor Sriram Krishnan, Senator Ted Cruz, Commerce Secretary Howard Lutnick, and AI and crypto czar David Sacks. Donald Trump, center, signs a an executive order on artificial intelligence in the Oval Office on December 11. He is joined by, from left, AI advisor Sriram Krishnan, Senator Ted Cruz, Commerce Secretary Howard Lutnick, and AI and crypto czar David Sacks. Last week, President Donald Trump signaled his allegiance to the AI industry yet again by signing an executive order that aims to block states from regulating AI.

OpenAI turned 10 yesterday, and President Donald Trump incidentally gave the company a very special birthday gift: a sweeping executive order aiming to dismantle and preempt many state-level regulations of artificial intelligence. "There's only going to be one winner here, and it's probably going to be the U.S. or China," Trump said in a press conference announcing the order. And for the United States to win, "we have to be unified. Almost all of the AI industry's biggest players have been pushing for this move. OpenAI has been asking all year for the Trump administration to preempt state-level AI regulations, which the company believes would be burdensome in various ways; Microsoft, Google, Meta, Nvidia, and the major venture-capital firm Andreessen Horowitz have made similar requests.