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Altman, Amodei Press UN Security Council for Global AI Standards

Marcus SterlingPublished 2w ago3 min readBased on 6 sources
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Altman, Amodei Press UN Security Council for Global AI Standards
Photo by UK Prime Minister / CC BY 2.0

Sam Altman of OpenAI and Dario Amodei of Anthropic addressed the United Nations Security Council on September 23, 2026, warning that artificial intelligence poses risks to humanity and appealing for governments to work together. Associated Press Reuters

The session was a Security Council meeting on artificial intelligence held at the 81st session of the UN General Assembly at UN headquarters. Associated Press Accounts of the briefing identified Altman and Amodei as the industry briefers addressing the Council. The Guardian

Altman and Amodei stressed the importance of global cooperation on standards for AI safety during their remarks. Bloomberg They cited the possibility that AI systems could gain the ability to improve on their own. Bloomberg

The Council appearance followed a framing document from OpenAI. On September 21, 2026, OpenAI published a page titled "Building standards for the next phase of AI" outlining a path to shared global AI standards. OpenAI Its outline calls for coordinated evaluation, reporting, and governance to improve AI safety. OpenAI

OpenAI listed 'Sam Altman's remarks at the United Nations Security Council' as a Global Affairs news item dated September 23, 2026. OpenAI

The broader context here is standards as coordination infrastructure. Evaluation defines what gets tested and by whom. Reporting defines what gets disclosed, to which authority, and on what cadence. Governance defines who can require changes before deployment or mandate monitoring after it. The three move together. Testing without disclosure leaves regulators blind. Disclosure without enforcement authority leaves testing advisory.

Looking at what this means for frontier labs and oversight bodies, the self-improvement claim raises the stakes for eval periodicity. A system capable of iterative self-modification can shift its capability profile between checkpoints. That compresses the useful life of a point-in-time assessment and increases the premium on continuous monitoring, version-linked reporting, and thresholds that trigger re-evaluation. Standards are infrastructure. They do not remove risk.

In my view, the choice of venue matters as much as the language. A Security Council briefing seeks to frame AI safety as a collective action problem rather than a product liability question or a purely national competitiveness race. Shared standards reduce jurisdictional arbitrage and lower the transaction costs of cross-border deployment, audit, and incident response. The friction is obvious. Consensus processes are slow. Capabilities iterate fast. Any regime that couples evaluation to reporting to governance will need to specify evidentiary standards, access rights for independent evaluators, and consequences for non-compliance. Without those, cooperation is principle rather than mechanism.

For practitioners, the signal to track is whether evaluation, reporting, and governance get negotiated as a single package. Fragmented pilots will tell markets little. Interoperable commitments will tell them a great deal.