Requires the Secretary of Defense to develop requirements ensuring DoD-funded biological data resources facilitate AI use. Defines "qualified biological data," includes metrics for data quality, cybersecurity safeguards, privacy protections, and allows national security exceptions. Requires the Secretary to consult relevant sectors about the feasibility of new requirements and review existing frameworks.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of approximately 3-4 subdomains, with focus on privacy compromise (2.1), AI system security vulnerabilities (2.2), and governance failure (6.5). Coverage is concentrated in data security, privacy protection, and governance framework domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs the National Security sector by establishing requirements for DoD-funded biological data resources. It also has implications for Scientific Research and Development Services through its requirements for research data management, and potentially Health Care through biological data handling requirements.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory requirements and enforcement authority delegated to the Secretary of Defense.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily focuses on the Collect and Process Data stage by establishing requirements for how biological data should be collected, stored, and structured to facilitate AI use. It also addresses the Plan and Design stage through requirements development and the Operate and Monitor stage through cybersecurity and privacy protections.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document explicitly mentions artificial intelligence and advanced computational methods. It focuses on biological data resources that facilitate AI use but does not specify particular types of AI models or systems. No compute thresholds, frontier AI, or specific AI architectures are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.