This bill directs the National Institute of Standards and Technology (NIST) to create clear definitions, standards, resources, and frameworks so that biological datasets produced with certain federal research funding are "artificial intelligence-ready." NIST must define terms, set data standards, make guidance and cybersecurity resources, test the rules on sample datasets, and work with agencies, researchers, industry, and publishers. The bill requires an advisory group, inventories of existing standards and datasets, agency-specific data policies, public reporting, and regular reviews. The section ends after 10 years.
No publicly available information on estimated dollar costs or savings. The bill requires agencies to include a mechanism to ensure sufficient funding for recipients to meet the standards and asks for cost-benefit analyses in NIST reports, but it does not specify dollar amounts.
Supporters want NIST-led definitions and standards so biological datasets can be used effectively to train AI models and to support research advances in AI and biotechnology. The bill promotes testing, public input, and coordination across agencies and with industry and academia to make standards practical and useful.
No publicly available information on organized opposition. The bill itself recognizes the risk of imposing an undue burden and requires testing, evaluation, and yearly reviews to identify and reduce any such burdens.