Sponsors (2)
The bill channels substantial prize funding, public datasets, and federal coordination to speed AI-driven scientific and medical breakthroughs while favoring U.S.-based winners and raising concerns about costs, privacy/dual-use risks, administrative burden, and potential advantages for well-resourced players over smaller or international participants.
Researchers, scientists, and innovators receive targeted prize funding across multiple AI 'grand challenge' areas, creating strong financial incentives to accelerate AI R&D and commercialization.
Patients and health systems gain a mandated AI cancer grand challenge with minimum $10M prizes, increasing resources focused on AI-driven diagnostics and treatments.
Scientists, researchers, and AI developers get publicly listed, high-value datasets and clearer problem targets, reducing duplication and enabling faster progress on foundational scientific problems.
Taxpayers face increased federal spending and opportunity costs from large cash prizes (e.g., $10M minimum for cancer winners and authority for prizes >$50M).
Publishing large scientific datasets risks exposing sensitive information or creating dual‑use/misuse pathways if privacy and security safeguards are insufficient.
Restricting prize winners and dataset beneficiaries to U.S.-incorporated entities and U.S. citizens/permanent residents excludes international talent and limits global collaboration on AI problems.
Based on analysis of 3 sections of legislative text.
Creates an NSF‑run AI Grand Challenges prize program and requires OSTP to coordinate publishing datasets for AI‑amenable scientific grand challenges.
Official title: To authorize the Director of the National Science Foundation to identify grand challenges and award competitive prizes for artificial intelligence research and development.
Introduced February 9, 2026 by Ted Lieu · Last progress February 9, 2026
Creates a federal AI prize program led by the National Science Foundation (NSF) and directs the White House Office of Science and Technology Policy (OSTP) to coordinate publication of datasets for high‑impact scientific “grand challenges.” NSF must stand up an AI Grand Challenges Program within 12 months to run prize competitions (using existing prize authority) that target measurable problems across many domains (national security, health, energy, environment, transportation, agriculture, education/workforce, manufacturing, space/quantum/materials, supply chain, disaster preparedness, natural resources, and cross‑cutting AI issues such as robustness, interpretability, safety, privacy, provenance, and bias mitigation). OSTP must coordinate science‑funding agencies to identify and publish datasets appropriate for AI solutions to foundational scientific problems.