Peter Wildeford

我负责 AI Policy Network 的政策制定工作。我们主要在华盛顿特区推动 AI 安全相关政策倡议。我希望有人协助开发政策构想,以便把握未来的政策窗口期。

研究小组概览

I plan to pitch specific projects at the start of the program, especially as policy needs change rapidly, but here are some illustrative project ideas:  

  

1. Suppose the President summons the AI CEOs and his top national security advisors to an emergency meeting at the White House. He has become extremely concerned about superintelligence. He is concerned humanity could become permanently out of the driver's seat of its own future. He wants to figure out what to do. What do we say? A fellow could take two or three questions (e.g., "what about China? how far ahead is China, actually?", "what could we verify in 30 days?"), produce best-guess answers with explicit confidence levels, red-team them, and deliver a decision memo plus a one-page options paper written for a principal.

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**2. An NTSB for AI incidents.** When a plane goes down, the wreckage is preserved by law and investigators have subpoena power. When an AI goes rogue, the investigation runs at the pleasure of the company being investigated. A fellow could map NTSB, CSB, and FAA authorities and try to figure out what AI incident law could look like.

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**3. Model weight security policy.** RAND has documented that no frontier AI company is currently secure against top-tier state attackers. A fellow could build the US government strategy for closing that gap.

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**4. AI control policy.** Control — monitoring, tamper-resistant logging, containment tested against the model itself  is a live technical research agenda with almost no policy translation. A fellow could turn these emerging technical standards into something the government could require.

导师指导方式:

Standard (1-2 hours of weekly 1:1s)

项目期间的工作地点:

Washington, D.C.

伦敦办公偏好:

Indifferent

伯克利办公偏好:

Weak preference

导师

Peter Wildeford
AI Policy Network
,
AI 政策负责人
Policy and Governance
Forecasting and Strategy
AI 技术治理

Peter Wildeford 是 The AI Policy Network 的政策负责人。该组织致力于推动两党共同支持相关政策,为美国应对 AI 超级智能做好准备。他曾在 Good Morning America、The Daily Show、TIME、Politico、The Information、TechCrunch 和 Transformer 等媒体谈论 AI。此前,他共同创立了 Institute for AI Policy and Strategy;在此之前,他做了五年数据科学家和软件工程师。他还是 Metaculus 排名前 20 的预测者,并在多项预测竞赛中取得优异成绩。

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我们希望招收的学员

- Past experience writing in a non-academic context, especially memos or blog posts that are very readable by busy people.

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- Some working knowledge of the frontier AI policy landscape (e.g., you know roughly what the compute supply chain looks like, what the current US executive actions are, what "recursive self-improvement" and "AI control" mean, and who the major players are.)

- You have self-direction and prior experience working on research independently.

- Willingness to come to DC. US citizenship preferred.

项目遴选