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Royal Statistical Society AI task force says: AI regulation needs statistics

AIHub

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.


Zuckerberg pushes 'superintelligent' AI for all as Meta drops open-source model

The Guardian

Mark Zuckerberg speaks during the company's Connect developer conference on 17 September 2025 in Menlo Park, California. Mark Zuckerberg speaks during the company's Connect developer conference on 17 September 2025 in Menlo Park, California. Zuckerberg pushes'superintelligent' AI for all as Meta drops open-source model Mark Zuckerberg published a lengthy essay on Monday detailing his views on artificial intelligence and announced several plans for how Meta would develop the technology in the future. The CEO's essay went online the same day as Meta released a new, open-source AI model that seeks to rival Anthropic and OpenAI's products called Muse Glimmer. Over the course of more than 6,000 words in a post titled "The Future is for Everyone," Zuckerberg addressed a range of topics related to AI that included datacenters, government regulation, cybersecurity, the creation of bioweapons, labor market disruption, surveillance powers and more.


The California Teamsters union is suing the state over self-driving trucks

Engadget

The California Teamsters union is suing several state agencies, including the DMV, over rules pertaining to self-driving trucks, according to a report by Politico. The suit claims that Governor Gavin Newsom's administration improperly rolled out a series of regulations that will likely bring robot trucks to state roads. This stems from a move the DMV made back in April, in which new rules were adopted regarding autonomous trucks. California had previously prohibited large self-driving vehicles. This was due, in large part, to objections from unions regarding potential job loss.


What AI Regulation and Ownership Could Be

Mother Jones

Get your news from a source that's not owned and controlled by oligarchs. As an ordinary internet user, I am skeptical about AI. My colleagues and I have reported on several harmful aspects of the technology in the US: threats to democracy, its impact on the environment, mental health, the workforce, military intervention --the list goes on. While researching the gaps in conversations around enforceable government regulation of AI startups, both big and small, eager to innovate and launch new products, I came across AI researchers, policy experts, and even "ordinary internet users" like me trying to reimagine how the industry could work. If AI is unstoppable, can we build it in a way where the public has more of a say in how the technology is made, used, and who it benefits? To answer these questions, I spoke with B Cavello, the director of emerging technologies at the Aspen Institute .


Chabria: AI companies are creating 'all-powerful psychopaths.' Maybe not a great idea?

Los Angeles Times

Things to Do in L.A. AI companies are creating'all-powerful psychopaths.' OpenAI Chief Executive Sam Altman speaks at a San Francisco event in 2025. This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search.


Why are OpenAI and Anthropic cheering on regulation in Australia? The answer has global reach

The Guardian

OpenAI and Anthropic lost billions in predicted value after being shown up by a Chinese startup. OpenAI and Anthropic lost billions in predicted value after being shown up by a Chinese startup. Why are OpenAI and Anthropic cheering on regulation in Australia? The companies hope to follow in the footsteps of SpaceX, which raised $86bn and soared to a $2.1tn valuation after it listed on public markets in June Top US AI developers Anthropic and OpenAI cheered when Australia announced it would set new AI rules. Big tech celebrating limits on their Silicon Valley VC-funded free-for-all might seem counterintuitive but there's a much broader play than just what happens in one relatively small market.


Taylor Farms Spent Big on MAGA and Anti-Regulatory Lobbying Before Diarrhea Outbreak

WIRED

The company donated more than $3.6 million to conservative groups between 2020 and 2025, including $1 million to the MAGA Inc. super PAC. The lettuce supplier at the center of the turbo diarrhea outbreak has spent millions of dollars to sway sentiment around food regulation and elect Donald Trump and other MAGA Republicans, according to public filings. Taylor Farms donated more than $2 million to conservative political groups in 2025, according to Federal Election Commission filings. That includes a $1 million donation to MAGA Inc., the Trump-centric super PAC, and $1.1 million to other super PACs dedicated to electing Republicans. From 2020 through the end of 2024, the company donated more than $1.6 million to conservative PACs, including a total of $850,000 to AFP Action, an anti-regulation super PAC with ties to the Koch network.


Here's Why Anthropic Is Pushing States to Regulate AI Faster

WIRED

Here's Why Anthropic Is Pushing States to Regulate AI Faster The company endorsed landmark AI transparency laws in California and New York last year, but its head of US state and local policy says they may already be outdated. Anthropic threw its support behind the first wave of frontier AI safety laws in the United States last year, securing new transparency requirements in California and New York that much of Silicon Valley fought against, arguing they would stifle the AI boom . But Anthropic says those laws may already be outdated, and the company is now pushing states to adopt even tougher regulations. "The transparency-focused safety bills of 2025 were a really important start, but as the capabilities of AI systems continue to advance quickly--the policy responses need to match," Cesar Fernandez, Anthropic's head of US state and local government relations, told WIRED in an interview. "We think that transparency and self reporting are no longer sufficient safety measures for the most powerful AI systems."


OpenAI Staffers Are Funding a Rival Super PAC to Take on Their Boss

WIRED

OpenAI employees have donated more than $215,000 to a political effort opposing Leading the Future, a group backed by the company's president, Greg Brockman. A group of rank-and-file OpenAI employees have donated more than $215,000 to a super PAC pushing for stricter regulations on frontier AI labs. Guardrails Alliance, which launched last month with $5 million in total initial funding, bills itself as a populist effort supported by tech workers, labor unions, and other groups. It's aiming to be a counterweight to Leading the Future, a pro-AI industry super PAC bankrolled with more than $100 million from technology industry leaders, including OpenAI president and cofounder Greg Brockman. Seven current OpenAI employees have donated to Guardrails Alliance, as well as one former employee, WIRED has learned.


Position: Bridge the Gaps between Machine Unlearning and AIRegulation

Neural Information Processing Systems

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.