Miles Brundage

What happened

Said 'Neither OpenAI nor any other frontier lab is ready' for AGI. Noted OpenAI placed increasingly restrictive limits on what he could publish. The AGI Readiness team was disbanded after his departure.

Key Publications

• Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims⤴

  arXiv·Apr 2020·preprint

  This paper argues that the AI community's reliance on voluntary, unverifiable commitments to safety and ethics is insufficient, and proposes concrete mechanisms through which AI developers can make claims about their systems' safety, security, fairness, and privacy that external parties can actually verify. The authors, who include researchers from major AI labs, academic institutions, and civil society organizations, identify a gap between the aspirational principles that organizations publish and the lack of infrastructure for holding them accountable to those principles. They propose a toolkit of verification mechanisms organized across three categories: institutional mechanisms such as third-party audits and red-teaming exercises, software mechanisms such as audit trails and formal verification tools, and hardware mechanisms such as secure computing environments that enable privacy-preserving evaluation. The paper is significant because it moves the conversation about AI governance beyond abstract principles toward practical implementation, offering a roadmap for building the trust infrastructure that responsible AI deployment requires. Its multi-stakeholder authorship and emphasis on actionable proposals have made it influential in policy discussions about AI regulation, audit requirements, and the design of safety evaluation frameworks.

• Time's Up for AI Policy⤴

  Substack·Dec 2024·essay

  Writing weeks after leaving OpenAI, Brundage argues that AI that exceeds human performance across most cognitive domains will plausibly arrive within years, not decades, and that the policy window is closing. He calls for comprehensive AI regulation in the US, dramatically improved government technical capacity, stronger safety cultures inside companies, and international dialogue on military uses of AI — all, in his view, needed by the end of 2025.