AI Alignment in Mitigating Risk: Frameworks for Benchmarking and Improvement
AI Alignment in Mitigating Risk: Frameworks for Benchmarking and Improvement from Aileen Niu continues to share the insightful work from the Center for AI Policy’s summer 2024 policy fellows. The report is linked below.
It was wonderful to have the opportunity to work with Aileen and Vedant Patel this past summer. Each made valuable contributions to the CAIP community, and their work toward AI safety was very much appreciated.
Read the full report here.
AI Safety and the US-China Arms Race
Inspecting the claim that AI safety and US primacy are direct trade-offs
Healthcare Privacy in the Age of AI: Guidelines and Recommendations
The rapid growth of AI creates areas of concern in the field of data privacy, particularly for healthcare data
Decoding AI Decision-Making: New Insights and Policy Approaches
An overview of AI explainability concepts and techniques, along with recommendations for reasonable policies to mitigate risk while maximizing the benefits of these powerful technologies