Sponsors (5)
The bill promotes interoperable, transparent, and more secure AI‑ready biological datasets for federally supported research, but it increases compliance burdens, risks excluding smaller actors, and raises data privacy and governance concerns that must be managed.
Researchers and federally funded projects will get clear, AI‑ready definitions and standards within 2 years, making biological data more interoperable and easier to use for AI research.
Scientists, federal employees, and the public will have improved access to inventories and a central repository, increasing transparency and enabling reuse of AI‑ready biological datasets.
Federal agencies and health systems will benefit from standardized data management and cybersecurity frameworks that can reduce security risks when sharing biological datasets for AI use.
Patients and health systems face increased privacy and misuse risks if datasets are centralized and data governance or deidentification prove insufficient.
Small labs, students, and smaller research institutions may incur additional compliance costs to produce AI‑ready datasets, straining limited budgets.
Small projects and under‑resourced researchers may be excluded from program benefits because funding thresholds, required expertise, and dataset size are used to qualify participation.
Based on analysis of 2 sections of legislative text.
Directs NIST to develop definitions, standards, data management and cybersecurity frameworks so federally funded biological datasets are AI‑ready within two years.
Official title: To direct the Director of the National Institute of Standards and Technology to facilitate the establishment of definitions, standards, resources, and frameworks to ensure certain biological datasets are ready for use in artificial intelligence models, and for other purposes.
Introduced March 12, 2026 by Ro Khanna · Last progress March 12, 2026
Requires NIST to lead development of definitions, standards, data management resources, and cybersecurity frameworks so biological datasets produced with qualifying federal research funding are "artificial intelligence–ready." NIST must complete this facilitation within two years and work with an advisory group and stakeholder feedback when setting requirements and conditions for what counts as qualified federally funded research and an AI‑ready dataset. The directive covers establishing definitions (e.g., “AI‑ready,” “biomanufacturing,” “biotechnology”), criteria for when research is covered (funding level, capability, dataset size, etc.), requirements for dataset properties, and tools/resources for federal funders and federally funded researchers to create and manage AI‑ready biological data. It also includes cybersecurity considerations and authority to coordinate with agency data officers to deem datasets AI‑ready or not.