IAPS Researchers React: The US AI Action Plan
IAPS experts review the US AI Action Plan through a national security and AGI-risk lens, praising its goals and identifying gaps and implementation considerations.
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IAPS
Policy research on advanced AI security and governance. www.iaps.ai
Research Report (25)Compute governance (23)Frontier Security (22)International governance & China (18)Policy and Standards (18)Erich Grunewald (16)Jam Kraprayoon (14)Link Post (14)Oliver Guest (11)Linkpost (10)Joe O'Brien (9)Chris Covino (8)Issue Brief (8)Oscar Delaney (7)Bill Anderson-Samways (6)Responses to RFIs/RFCs (6)Matthew Mittelsteadt (5)Renan Araujo (5)Theo Bearman (5)Blog Post (4)Cara Labrador (4)Shaun Ee (4)Asher Brass (3)International Strategy (3)Onni Aarne (3)Brianna Rosen (2)Clarissa Koh (2)Hamish Low (2)Karson Elmgren (2)Sambhav Maheshwari (2)Sarah Godek (2)Article (1)Cassia King (1)Commentary (1)Dave Banerjee (1)Jan Wehner (1)Request for Information (RFI) Response (1)Sumaya Nur Adan (1)
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The US Government’s Role in Advanced AI Development: Predictions and Scenarios
A forecasting workshop with professional forecasters and US AI policy experts estimates the chance that a US government-led project would build and acquire the first advanced AI, and how it would be controlled.
Response to the DOD RFI on Defense Industrial Base Adoption of Artificial Intelligence for Defense Applications
IAPS's response to a DoD RFI urges DoD-wide testing, evaluation and security standards for dual-use foundation models acquired through the defense industrial base, plus information-sharing with the US AI Safety Institute.
AI-Relevant Regulatory Precedents: A Systematic Search Across All Federal Agencies
A systematic search of US federal agencies identifies regulatory case studies, using measures like expertise, risk assessment and enforcement, that could inform how advanced AI should be regulated.
Responsible Scaling: Comparing Government Guidance and Company Policy
Evaluates Anthropic's Responsible Scaling Policy against UK DSIT guidance on responsible capability scaling, arguing its risk thresholds should be lower and grounded in societal risk tolerances from other industries.
Catching Bugs: The Federal Select Agent Program and Lessons for AI Regulation
Examines the US Federal Select Agent Program as a biosecurity precedent and draws lessons for AI regulation, covering development-phase licensing, regulatory expertise, and risk-based versus list-based approaches.