HR8516-119

What This Bill Does

The American Leadership in AI Act is a broad federal artificial-intelligence package. It builds a NIST-led Center for AI Standards and Innovation, creates a National Artificial Intelligence Research Resource for researchers and students, expands NSF, NIH, USDA, DOE, Labor, SBA, and education programs around AI, and adds governance rules for how federal agencies buy and use AI systems. It also creates legal remedies and penalties for AI-enabled harms: nonconsensual intimate digital forgeries, AI-assisted mail, wire, bank, and money-laundering fraud, AI impersonation of federal officials, and retaliation against AI whistleblowers.

Who Benefits and How

AI researchers, students, universities, nonprofit research institutions, federally funded research and development centers, and qualified small businesses benefit from the National Artificial Intelligence Research Resource. The bill gives them access to computing resources, public cloud services, open datasets, an AI open data commons, AI testbeds, training materials, user support, and a portal run through an NSF Program Management Office and an outside Operating Entity.

NIST, federal laboratories, standards development organizations, and U.S.-based AI standards participants benefit from new federal infrastructure for voluntary AI standards. The NIST Center for AI Standards and Innovation would benchmark AI systems, research red-teaming and risk-measurement methods, support international standards engagement, convene a stakeholder consortium, and receive a $10 million authorization for fiscal year 2027. Separate NIST provisions create a web portal for international standards activity and a $5 million, five-year pilot grant program that can cover up to half the cost of hosting AI and critical-technology standards meetings in the United States.

NSF, NIH, USDA, DOE, and their research partners gain new grant and coordination authorities. NSF would run AI Grand Challenges prize competitions, including at least one cancer-related AI challenge with at least $10 million in cash prizes for each winner. NIH would fund generative-AI health-care research focused on documentation, insurance claims, customer service, clinician burnout, workforce development, and medically underserved populations. USDA and NSF would coordinate agricultural AI and precision-agriculture research, including centers for agricultural research, education, and workforce development.

The Department of Energy, national laboratories, energy-sector AI researchers, and data-center technology developers benefit from an expanded DOE AI research program. DOE would fund AI research for simulations, datasets, energy-efficient computing hardware, trustworthy AI, national security, and energy applications; make high-performance computing infrastructure available; create at least one data-center testbed for energy-efficient and energy-flexible AI training and inference; and report on data-center growth, energy security, backup power technologies, offshoring risks, and efficiency improvements.

Federal agencies and the public receive stronger AI governance. NIST would write federal AI standards for agency and contractor systems, including synthetic-content provenance and labeling. OMB would establish a Chief Artificial Intelligence Officers Council, agencies would designate Chief AI Officers, major agencies would create AI Coordination Boards and AI strategies, and GAO would report on implementation, bias, costs and benefits, federal AI inventories, and jobs at risk of AI-driven displacement.

Victims of nonconsensual intimate image disclosures and AI-generated intimate digital forgeries benefit from a broader federal civil action. The bill lets identifiable individuals sue people who knowingly produce, possess with intent to disclose, disclose, solicit, or receive covered intimate digital forgeries, and it clarifies that a forgery can be covered even if it is labeled as fake.

AI whistleblowers benefit from explicit anti-retaliation rights. Employees and independent contractors who report AI security vulnerabilities or AI violations to regulators, law enforcement, Congress, supervisors, or internal compliance channels can seek Labor Department relief or sue in federal court. Remedies include reinstatement, double back pay, interest, compensatory damages, litigation costs, expert fees, and attorney fees, and the bill bars forced waiver or pre-dispute arbitration of those rights.

Workers, small businesses, K-12 schools, community colleges, minority-serving institutions, rural-serving institutions, Tribal Colleges and Universities, and AI education researchers benefit from workforce and education programs. The bill creates a Labor Department AI Workforce Research Hub, NIST/SBA resources for small-business AI adoption, a 50 percent employer tax credit capped at $5,000 per employee for cybersecurity education, a 5 percent federal-procurement scoring preference for qualified cybersecurity-training employers on contracts over $5 million, NSF AI-literacy awards, AI research-capacity awards for under-resourced institutions, scholarships and fellowships, up to eight Community College and Area Career and Technical Education Centers of AI Excellence, and research awards for AI teaching tools serving low-income, rural, and Tribal K-12 students.

Who Bears the Burden and How

Federal agencies bear new compliance and governance burdens. Agencies using or buying AI would have to follow NIST standards, train procurement staff, inventory and monitor AI use cases, designate Chief AI Officers, create coordination boards and AI strategies, report appointments and authorities to Congress, and implement OMB guidance on AI leadership structures.

The NSF, NIST, DOE, NIH, USDA, Labor Department, OMB, GAO, SBA, and GSA take on administrative workloads. They must create offices, portals, grant programs, prize competitions, reports, guidance, standards, review processes, advisory committees, data repositories, testbeds, evaluation criteria, and public reporting systems.

AI vendors, contractors, and entities providing AI systems to agencies face more scrutiny. Federal AI standards would cover agency-operated and contractor-operated AI systems, synthetic-content labeling, testing, evaluation, verification, validation, conformity assessment, risk management, and procurement guidance. Contractors that do not invest in qualifying cybersecurity education could lose a scoring advantage in large competitive federal procurements.

People who use AI to commit fraud, impersonate federal officials, launder money, or create and distribute nonconsensual intimate digital forgeries face higher legal exposure. The bill raises several fraud fines, adds AI-assisted penalty enhancements, creates up to $2 million fines and up to 30 years for AI-assisted bank fraud, adds AI-assisted money-laundering penalties, adds up to $1 million and up to three years for AI-assisted federal-official impersonation, and broadens civil liability for intimate digital forgeries.

Employers in AI-related work bear anti-retaliation obligations. They cannot fire, demote, suspend, blacklist, harass, threaten, or otherwise discriminate against employees or independent contractors who report AI security vulnerabilities or AI legal violations through protected channels.

Key Provisions

• Establishes the NIST Center for AI Standards and Innovation to develop AI measurement science, red-teaming methods, benchmarks, voluntary standards, federal support, international standards engagement, and a stakeholder consortium, with a $10 million fiscal year 2027 authorization and a six-year sunset.
• Requires NIST to brief Congress on AI and emerging-technology standards participation, create a federal-agency standards participation reporting mechanism with OMB, and maintain a web portal to help U.S. industry and federal agencies participate in international standards efforts.
• Creates a five-year NIST pilot grant program, authorized at $5 million for fiscal years 2027 through 2031, to help eligible standards organizations or meeting hosts hold AI and critical-technology standards meetings in the United States, with grants capped at half of anticipated meeting costs.
• Establishes the National Artificial Intelligence Research Resource, including an OSTP-chaired steering subcommittee, NSF Program Management Office, competitively selected Operating Entity, advisory committees, computational resources, cloud services, open datasets, AI testbeds, educational tools, privacy and ethics review, eligibility limits, scientific-integrity reporting, and donation authority.
• Creates NSF AI Grand Challenges prize competitions across national security, cybersecurity, health, energy, agriculture, education, manufacturing, quantum computing, supply chains, disaster preparedness, and AI safety topics, including a required cancer AI challenge with at least $10 million in cash prizes for each winner.
• Directs NIH to fund generative-AI health-care research, with priority for projects that deploy AI across the health sector, develop clinicians and administrators, reduce workforce burnout, or improve care for medically underserved populations.
• Expands DOE AI research for simulations, datasets, energy-efficient computing hardware, trustworthy AI, national security, and data-center energy, and requires DOE to assess data-center growth, energy-security risks, backup power options, offshoring risks, and efficiency policy.
• Requires NIST to develop federal AI standards for agency and contractor systems, risk management, synthetic-content provenance and labeling, procurement testing, evaluation, verification, validation, training, profiles for small businesses, and conformity assessment.
• Creates the Chief Artificial Intelligence Officers Council, requires agency Chief AI Officers, directs major agencies to establish AI Coordination Boards and AI strategies, and requires GAO reports on implementation, bias, costs and benefits, federal AI inventories, and job-dislocation risks.
• Directs NIST and CISA to support voluntary AI vulnerability and substantial AI security and safety incident tracking, including common definitions, reporting norms, standardized documentation, and a report to Congress, without giving NIST new enforcement authority.
• Establishes a Labor Department AI Workforce Research Hub to measure AI's impact on workers and labor markets, conduct scenario planning, and inform workforce and education policy.
• Requires NIST, with SBA distribution support, to create voluntary small-business AI adoption resources, including technical standards, best practices, benchmarks, use-case guidance, case studies, cybersecurity references, biennial updates, and a report to Congress.
• Expands federal civil remedies for nonconsensual intimate image disclosure to include AI-generated intimate digital forgeries, including forgeries labeled as inauthentic, and preserves severability and intellectual-property limits.
• Raises penalties for AI-assisted mail fraud, wire fraud, bank fraud, money laundering, and impersonation of federal officials, including up to $2 million fines and up to 30 years for AI-assisted bank fraud.
• Creates anti-retaliation protections for AI whistleblowers, including Labor Department complaints, federal civil actions, jury trials, reinstatement, double back pay, compensatory damages, legal fees, and limits on waiver or forced arbitration.
• Creates a 50 percent employer tax credit, capped at $5,000 per employee, for qualified employee cybersecurity education tied to the NICE Cybersecurity Workforce Framework and gives qualified offerors a 5 percent scoring increase on federal contract proposals over $5 million.
• Funds and authorizes NSF AI literacy, capacity, scholarship, fellowship, community-college, career-technical, and K-12 education research programs, including awards for under-resourced institutions, HBCUs, minority-serving institutions, Tribal Colleges and Universities, rural-serving institutions, and low-income, rural, and Tribal K-12 students.