Mauricio Baker, Anjay Friedman

Our stream focuses on AI verification, as in how actors can check that the use of AI compute is compliant with policy, especially for enabling international agreements on AI. This sense of verification is much broader than formal verification.

Stream overview

Our stream's projects focus on AI compute verification. Projects could include: investigating technical cruxes for the feasibility of verifying compliance with international agreements on AI, supporting system security analyses, developing R&D proposals, and developing policy recommendations for how government agencies or AI companies could advance AI verification soon. Projects are not limited to hardware; there are live questions in software, ML, policy, and more.

Mentorship style:

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

Location during program:

Washington, D.C.

London location preference:

Indifferent

Berkeley location preference:

Weak preference

Mentors

Mauricio Baker
RAND
,
Technical AI Policy Research Scientist; DPhil (PhD) student
Policy and Governance
AI Systems Security
Technical AI Governance

Mauricio researches AI policy at RAND and Oxford. His work has focused on verification of international agreements on AI. He’s more broadly interested in technical AI governance. Previously, Mauricio contracted with OpenAI and did a master's in Computer Science at Stanford University.

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Anjay Friedman
RAND
,
Researcher
Policy and Governance
AI Systems Security
Technical AI Governance

Anjay researches AI policy at RAND. He is currently focused on verification of international agreements on AI with previous focuses on AI security and emergency response. Previously, he worked at Constellation and Redwood Research and completed a bachelors in Computer Science at Vanderbilt University.

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Fellows we are looking for

Strong analytical and writing skills, research pragmatism and judgment, fast learner, proactive, and AI landscape context.

Project selection

I'll talk through project ideas with scholar