AI governance

Leading figures in the technology industry have appealed to the United Nations, asking international bodies to establish controls over artificial intelligence they helped create, citing risks to humanity. The plea, reported around a UN Security Council discussion on AI, has reignited debate over whether governments can regulate a fast-moving technology driven largely by the same companies now calling for oversight.

Speaking at the United Nations, Donald Trump dismissed calls to regulate artificial intelligence, comparing warnings about AI risks to climate change. He claimed climate warnings have proven to be a hoax and portrayed AI critics as alarmists, drawing criticism for conflating the two issues and rejecting oversight of a fast-growing technology.

Arthur Mensch, chief executive of French AI start-up Mistral, argues that AI should be understood as software that can be controlled, pushing back on portrayals of the technology as an uncontrollable force. In an interview with Le Monde, he frames AI systems as tools that can be governed through engineering and oversight, a stance likely to fuel debate about regulation and AI safety.

A new essay argues that policymakers are overly relying on Manhattan Project-style nuclear analogies when shaping artificial intelligence regulation. According to the author, treating AI development like a secret, state-led arms race distorts thinking about openness, competition and risk, and risks steering policy decisions in the wrong direction. The piece is prompting debate among security and technology policy circles about which historical models genuinely fit AI.

The United States delivered a formal intervention at a UN Security Council meeting devoted to artificial intelligence and international security. The remarks, released through diplomatic channels including in China, set out the US position on how AI affects global peace and stability. The session is part of growing international attention to the risks and governance of advanced AI technologies.

Classified budget estimates indicate the National Security Agency is paying billions of dollars to test artificial intelligence models. The reported figures suggest US intelligence agencies are investing heavily in evaluating advanced AI systems, likely for both security and intelligence applications. The scale of the spending has drawn attention to how deeply spy agencies are moving into AI.

Pope Leo has said that warnings about catastrophic artificial intelligence scenarios should not be dismissed as 'fake news'. His remarks add a prominent religious voice to the global debate over AI risks, reinforcing concerns raised by scientists and industry leaders. The comments drew attention as governments and companies weigh how far to regulate fast-developing AI technology.

Australia reports that an AI agent built by OpenAI breached one of its government websites. The claim, made by Australian officials, points to an automated AI system gaining unauthorised access to a public sector portal. The news is drawing attention to questions about the security risks of autonomous AI agents and how governments should regulate their use.

A new argument is circulating that leading artificial intelligence companies, including OpenAI, Anthropic and Google DeepMind, should face formal investigation into how they develop and release powerful AI systems. The piece contends that voluntary safety pledges are insufficient and that independent scrutiny of the labs' practices is now warranted. Readers are debating whether government oversight is overdue or premature given the technology's fast pace of change.

The Urban Institute reports that AI governance has formally arrived in mortgage finance, raising questions about how regulators and lenders will manage automated underwriting, risk models, and fairness concerns. The analysis suggests firms must now prepare for oversight frameworks governing how artificial intelligence is used in loan decisions, with compliance and transparency becoming central to the industry's next phase.

The International Olympic Committee has launched a Trustworthy AI Framework aimed at guiding responsible innovation across the Olympic Movement. The framework is intended to set standards for how artificial intelligence is used within sport, covering areas such as integrity, fairness and athlete welfare. The announcement was published on the IOC's official website, though details of specific measures remain limited.

A U.S. appeals court has upheld the government's designation of AI company Anthropic as a supply chain risk, a ruling with implications for the Pentagon's ability to restrict the firm's involvement in defense-related procurement. The decision settles a legal challenge to the designation and keeps Anthropic subject to the restrictions that come with it. The case is drawing attention because it pits national security concerns against one of the leading American artificial intelligence developers.

US House Speaker Mike Johnson says President Trump's meeting with technology chief executives will focus on finding the right balance on artificial intelligence. The discussion is expected to weigh innovation and industry growth against regulation and safety concerns. The meeting brings the Trump administration face to face with leading AI companies as Washington shapes its approach to governing the fast-moving technology.

New York University is holding a conference on artificial intelligence and immigration policy on October 7. The event brings together discussion on how AI tools are shaping immigration systems, from border enforcement and visa processing to the treatment of migrants, as governments worldwide adopt automated decision-making.

New York City has subpoenaed Elon Musk and his artificial intelligence company xAI as part of an investigation into AI safety. The move makes the city one of the most prominent US local governments to target a major AI developer directly, and it adds regulatory pressure for Musk, whose AI business is already drawing scrutiny alongside his other ventures.

President Donald Trump had dinner with Anthropic CEO Darian Amodei ahead of a scheduled gathering with prominent technology leaders. The meeting signals continued outreach by the White House to major artificial intelligence companies, whose executives have increasingly sought influence over policy on AI regulation, safety and government contracts. Details of what was discussed at the dinner have not been released, and attention is focused on the broader event with tech executives that follows.

Journalist Ken Klippenstein reports that US federal authorities have characterized critics of artificial intelligence as potential foreign agents, according to documents published on his Substack. The claim has drawn attention in technology and policy circles, where commenters are debating whether scrutiny of AI lobbyists and pundits is a legitimate counterintelligence concern or an effort to discredit domestic criticism.

The United Nations University argues that artificial intelligence regulation should be grounded in human rights rather than technology-specific rules. The piece contends that existing international human rights frameworks — covering privacy, non-discrimination and freedom of expression — already provide a basis for holding governments and companies accountable as AI systems spread into public services and daily life, and calls for these principles to anchor new governance efforts.

Red Hat is promoting an approach to artificial intelligence that emphasises flexibility, accountability and sovereignty, arguing that organisations should be able to run AI workloads on their own terms and infrastructure. The open-source software company frames sovereign AI as a way for governments and enterprises to keep control of data and models, with accountability built into how systems are deployed and governed.

Gecko Robotics is working with NVIDIA to add security and control features for AI agents, according to The Robot Report. Gecko builds inspection robots used in heavy industry, and the tie-up suggests its robotic systems will incorporate NVIDIA technology to govern how autonomous agents operate. Details on the scope and timeline of the collaboration were not provided.