NIH AI Strategy RFI

AMIA commented supporting NIH's three-stage AI strategy progression from data analytics to autonomous biomedical AI systems. We emphasized AI principles including explainability, fairness, transparency, and accountability. Key recommendations include requiring FAIR data principles for federal grants, mandating explainable AI methods, establishing "algorithmovigilance" for continuous monitoring, and developing comprehensive AI competency frameworks. AMIA advocates for AI applications in drug discovery, clinical decision support, and reducing administrative burden while ensuring equity and safety. The organization stresses collaboration with professional organizations, standards-based development, and maintaining human oversight in AI-assisted healthcare delivery.