AI Agent Governance: A Field Guide
This report is an accessible guide to the emerging field of AI agent governance, including an analysis of the current landscape of agent and their capabilities, novel and enhanced risks posed by more agentic systems, and major open questions and agent interventions.
Response to BIS RFC on Establishment of Reporting Requirements for the Development of Advanced Artificial Intelligence Models and Computing Clusters
This post is a copy of IAPS’ response to a BIS request for public comment. It outlines ways to expand the role of other stakeholders in the reporting process for AI models and compute clusters, including third-party evaluators, civil society groups, and other public sector entities.
Response to the RFC on U.S. Artificial Intelligence Safety Institute's AI-800-1 Draft Document
IAPS submitted a response to a National Institute of Standards and Technology (NIST) Request for Comment, outlining practices that could help AI developers better manage and mitigate misuse risks from dual-use foundation models.
Response to the DOD RFI on Defense Industrial Base Adoption of Artificial Intelligence for Defense Applications
IAPS submitted a response to a Department of Defense Request for Information on Defense Industrial Base Adoption of AI for Defense Applications.
Assuring Growth: Making the UK a Global Leader in AI Assurance Technology
This policy memo by Jam Kraprayoon and Bill Anderson-Samways, published by the UKDayOne and the Social Market Foundation, recommends that the UK government implement a targeted market-shaping program mobilizing public and private sector investment to supercharge the UK’s AI assurance technology industry.
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.