Sponsors (4)
Introduced February 26, 2026 by Todd Young · Last progress February 26, 2026
The bill aims to boost U.S. AI competitiveness, research access, and government capacity—helping innovation, security, and workforce development—while increasing federal costs and leaving significant privacy, safety, labor, and international collaboration risks because many protections are voluntary or short‑lived.
All Americans stand to gain from accelerated U.S. AI development and commercialization, which can spur new products, services, and broader economic growth.
Hospitals, critical infrastructure, and the public benefit from improved AI cybersecurity and system resilience through coordinated red/blue teaming, toolkits, and interagency mitigation efforts.
Researchers, developers, and small firms get shared testbeds, evaluation tools, and public datasets that lower barriers to innovation, enable reproducible research, and help demonstrate model safety and reliability.
All Americans face greater privacy and safety risks if broad encouragement of AI leads to faster deployment without enforceable safeguards or if voluntary guidance is widely ignored.
Taxpayers could bear substantial new costs to run testbeds, host curated datasets, provide secure compute, fund prizes, and sustain expanded hiring authorities.
Workers in some industries face accelerated job displacement pressures from faster AI adoption unless retraining and targeted workforce supports scale effectively.
Based on analysis of 8 sections of legislative text.
Creates a NIST AI standards center, funds federal public datasets and testbeds, and tightens research‑security and temporary fellow rules.
Creates a new Center for Artificial Intelligence Standards and Innovation inside NIST to build voluntary standards, testbeds, evaluation tools, and best practices for trustworthy AI, and authorizes NIST to partner with industry, academia, Federal laboratories, and National Laboratories to run AI testbeds and evaluations. Sets up a federal program to create, curate, and publish high-quality public datasets for AI training and evaluation, with guidance on privacy, security, provenance, documentation, and secure access, and requires cataloging, tools, pilot projects, and regular reporting. Adds research-security and personnel rules: aligns activities with existing R&D security law, extends an authority to hire technical experts through 2035, and imposes controls and reporting for temporary non‑Federal fellows working on AI and other critical technologies, including agency certifications, OMB notifications, and annual inspector general audits.