904 summarised stories about AI Policy, each linking back to the original source. Browse all topics →
CSET Georgetown 1 month ago 28 ● 125 sources
CSET’s Jessica Ji discussed mainstreaming concerns about catastrophic AI risks and the difficulty of creating effective government oversight for more capable AI systems in a Vox article.
Fortune 45 ● 30 sources
Sam Altman hinted that OpenAI is nearing a pact with other major AI companies to coordinate on slowing AI development to address safety risks. He referenced a risk estimate of more than 10% for AI killing all humans within the next decade, while Anthropic said it is committing to giving independent evaluators permanent, employee-level access. The proposed coordination could involve industry-wide pacing decisions, with monitoring and antitrust/government support unclear.
Fortune 5 ● 30 sources
Anthropic’s employee post and Fortune’s new interview with OpenAI CEO Sam Altman focused attention on perceived risks that advanced AI could harm or destroy humanity. Altman said OpenAI’s IPO is ill-timed and would not happen until 2027. Altman also said he would pause or stop AI development if needed and suggested industry and regulatory actions to slow capabilities while safety and alignment catch up.
BBC News 1 month ago 50 ● 125 sources
Silicon Valley executives and investors at a Goldman Sachs conference questioned Jacob Coxon’s claims that AI builders expect it could destroy humanity, after Coxon resigned from Anthropic following work at OpenAI. Coxon, a 27-year-old, said he believed “superhuman systems” could hack anything and implied a near-term existential threat, prompting skepticism alongside debate about Anthropic’s safety messaging. The pushback shifts the conversation toward profitability and regulation debates—covering proposals to slow advanced model development and accusations of hype versus genuine safety concern.
BBC News 1 month ago 20 ● 125 sources
Anthropic CEO Dario Amodei urged AI labs and governments to slow the pace of frontier AI development while adding tighter oversight. He proposed independent monitoring of models, industry regulation, and global regulation. As a result, Anthropic says it will pursue the plan through third-party evaluation and alignment time, and wants governments to require peer frontier firms to comply.
Fortune 50
Meta agreed to pay up to $17.1 billion to settle claims from 47 states and thousands of families alleging Facebook and Instagram were designed to addict children.
Fortune 30
Corporate boards are being stress-tested because their vertically structured oversight model is being confronted with risks that move horizontally, continuously, and often outside the firm. The article’s key timing contrast is that boards work on quarterly-style cycles while cybersecurity vulnerabilities can appear overnight and geopolitical dynamics can shift in weeks. As a result, the author argues governance may need to shift toward continuous visibility and oversight of the systems companies depend on, rather than relying on adding more layers to the existing board model.
Fortune 18
The Federal Trade Commission alleged that Amazon used a pricing tool called Project Nessie to anticipate competitor price moves, raise prices, and keep them elevated, generating over $1 billion in excess profit before pauses during scrutiny and a later restart. Economists analyzing German gas-station pricing automation found that when two rival stations both adopted automated pricing, margins rose by about 38% without communication or agreements. The article argues this shifts scrutiny from performance metrics to auditing what pricing systems learn about competitors, adding constraints, and running counterfactual tests to detect coordination-like outcomes.
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23 October 2026
The biggest thread today wasn’t model capability—it was the constraint layer around AI. Finland’s regulators ordered Google to halt environmentally significant preparatory work for new Tuike Finland data centers in Muhos and Kajaani after clearing an estimated 250,000 trees before the environmental review was complete. The pause pushes timelines back, but it also spotlights the new reality for hyperscalers: compute demand is no longer just a power and plumbing problem; it’s a permitting, community, and climate one. That theme echoes in the broader push for enforceable oversight as AI infrastructure expands faster than regulations, with concerns about grid reliability and inconsistent local approvals now entering boardrooms.
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