Full Committee markup of:
- H.R. 9341, AI-Ready Federal Data Guidelines Act
The AI-Ready Federal Data Guidelines Act directs NIST to develop voluntary guidelines to help federal agencies prepare datasets, including open government data assets, for use in training AI models. The bill aims to improve the quality, accessibility, and usability of federal data to support AI innovation, enhance government transparency, and expand access to reliable information.
The AI Security and Innovation Act strengthens the federal government’s approach to securing artificial intelligence systems while supporting continued innovation. The bill advances efforts to identify and mitigate AI-related risks, improves coordination across government and industry, and promotes the development of secure, resilient, and trustworthy AI technologies.
The CREATE AI Act establishes a National Artificial Intelligence Research Resource to expand access to computing power and datasets for AI research. The bill aims to broaden participation in AI development by reducing barriers to critical resources. It supports U.S. innovation by enabling more researchers to develop and test advanced AI systems.
The NSF AI Education Act of 2025 expands artificial intelligence education and workforce training programs at the National Science Foundation. It supports scholarships, fellowships, and professional development to build AI skills among students, educators, and workers. The bill also promotes research and collaboration to improve how AI is taught and integrated into K–12 and higher education.
The LIFT AI Act authorizes the National Science Foundation to support programs that promote AI literacy for K–12 students and educators. It funds the development of age-appropriate AI learning materials, teacher training, and hands-on educational tools. The bill aims to prepare students for an AI-driven future and strengthen the U.S. workforce by improving early AI education.
The Resources for Evaluating and Documenting (READ) AI Models Act directs NIST to establish a pilot program to develop voluntary resources for documenting AI models, including standardized templates and technical guidance. By improving transparency around how AI models are developed, evaluated, and deployed, the bill aims to support more informed decision-making, risk assessment, and responsible use of AI systems across sectors.
- H.R. 8893, Protecting Consumers from Deceptive AI Act
The Protecting Consumers from Deceptive AI Act directs NIST to support research, testing, and standards development for technologies that can detect, authenticate, and disclose the origin of digital content, including content generated or manipulated by AI. The bill aims to help consumers distinguish authentic content from AI-generated material and strengthen trust in online information.
- H.R. 9333, AI Flaw Reporting and Security Enhancement Act
The AI Flaw Reporting and Security Enhancement Act directs NIST, in consultation with CISA, to establish a voluntary program for reporting, collecting, and tracking AI vulnerabilities, failures, and other flaws. The bill supports the development of common definitions, reporting frameworks, technical standards, and a national database to improve understanding of AI-related safety and security issues and promote more consistent reporting across sectors.
The Workforce for AI Trust Act directs NSF to support interdisciplinary AI fellowships, skills-based training, and workshops to help develop a workforce capable of building, evaluating, and governing trustworthy AI systems. The bill also directs NIST to expand its AI workforce activities and develop a national framework identifying the tasks, knowledge, and skills needed for AI-related work.
- H.R. 9372, Data Infrastructure Energy Measurement and Standards Act
The Data Center Energy Measurement and Standards Act directs NIST, in consultation with DOE, to improve how data center energy and water use are measured, reported, and analyzed. The bill supports the development of standardized metrics, best practices, and data-sharing mechanisms to improve forecasting capabilities, inform decision-making, and better understand the resource demands of AI and other advanced computing technologies.
House Science, Space, and Technology Committee
2318 Rayburn
06/25/2026 at 10:00AM