Summary
Sets federal priorities across nine strategic areas for AI research, including trustworthy AI, safety, privacy‑preserving techniques, human‑AI collaboration, and evaluation; calls for robust testbeds, datasets, and workforce development. Guides multi‑agency R&D coordination and investment.
Healthcare Implications
Identifies research thrusts directly relevant to health AI – privacy‑preserving learning, robustness, evaluation benchmarks, and human‑centered design. Shapes the National Institute of Health's, the National Science Foundation's, and agency grantmaking that providers and developers can leverage for clinical AI.