Jam Kraprayoon 7/5/24 Jam Kraprayoon 7/5/24

An Early Warning System For AI-Powered Threats To National Security And Public Safety

This policy memo by Jam Kraprayoon, Joe O’Brien, and Shaun Ee (IAPS), published by the Federation of American Scientists, proposes that Congress should set up an early warning system for novel AI-enabled threats to provide defenders maximal time to respond to a given capability before information about it is disclosed or leaked to the public.

Erich Grunewald 5/31/24 Erich Grunewald 5/31/24

Are Consumer GPUs a Problem for US Export Controls?

This report analyzes the potential impact of high-end consumer GPUs on the efficacy of US export controls on AI chips. It studies three stockpiling scenarios and what AI capabilities those may enable, and makes recommendations for policymakers.

Asher Brass 5/6/24 Asher Brass 5/6/24

Location Verification for AI Chips

Adding location verification features to AI chips could unlock new governance mechanisms for regulators, help enforce existing and future export controls by deterring and catching smuggling attempts, and enable post-sale verification of chip locations. This paper is meant to serve as an initial introduction to location verification use-cases for AI chips with comparison of different methods.

Oliver Guest 5/2/24 Oliver Guest 5/2/24

Topics for Track IIs: What Can Be Discussed in Dialogues About Advanced AI Risks Without Leaking Sensitive Information?

This issue brief suggests agenda items for dialogues about advanced AI risks that minimize risk of leaking sensitive information.

Institute for AI Policy and Strategy 4/30/24 Institute for AI Policy and Strategy 4/30/24

Highlights for Responsible AI from the Biden Administration's FY2025 Budget Proposal

This issue brief analyzes key AI-related allocations from the Biden FY2025 Presidential Budget in terms of their potential impact on the responsible development of advanced AI.