06/25/2026

 

Samuel Clifford 

 

H.R. 9341 (AI-Ready Federal Data Guidelines Act)

 

Sponsor: Representative Brian Babin (R-TX-36)

 

Purpose: This act directs the NIST (National Institute of Standards and Technology), which is a non-regulatory federal agency within the U.S. Department of Commerce that promotes innovation and industrial competitiveness through scientific and technological efforts, create voluntary standards that help federal agencies prepare their datasets, including open government data, for training AI models.

 

Effect: The bill pushes agencies to improve how they structure, document, and share data so it becomes more accessible, higher‑quality, and easier to use for responsible AI development.

 

Bill: https://science.house.gov/2026/6/h-r-9341-ai-ready-federal-data-guidelines-act

 

H.R. 9363 (A.I. Security and Innovation Act)

 

Sponsor: Representative Jay Obernolte (R-CA-23)

 

Purpose: This bill aims to strengthen how the government secures artificial intelligence systems while still encouraging technological progress.

 

Effect: The bill directs agencies to better identify, assess, and mitigate risks associated with AI, from system vulnerabilities to misuse scenarios, and it pushes for stronger coordination between government, industry, and researchers. By promoting shared standards and best practices, the act seeks to ensure that AI technologies used or supported by the federal government are secure, resilient, and trustworthy, all while maintaining an environment where innovation can continue to thrive.

 

Bill: https://science.house.gov/2026/6/h-r-9363-ai-security-and-innovation-act

 

H.R. 2385 (CREATE Act)

 

Sponsor: Representative Jay Obernolte (R-CA-23)

 

Purpose: This establishes a National Artificial Intelligence Research Resource (NAIRR) designed to give researchers broader access to the computing power, high‑quality datasets, and tools needed to develop and test advanced AI systems.

 

Effect: By lowering the barriers to these critical resources, especially for universities, nonprofits, and smaller research teams, the bill aims to expand who can meaningfully participate in AI development.

 

Bill: 

https://science.house.gov/2026/6/h-r-2385-create-ai-act

 

H.R. 5351 (NSF AI Education Act of 2025)

 

Sponsor: Representative Vince Fong (R-CA-20)

 

Purpose: This bill expands the National Science Foundation’s role in developing a strong, future‑ready AI workforce by investing in education, training, and research. The bill supports scholarships, fellowships, and professional development programs that help students, educators, and workers build essential AI skills. It also encourages research on how AI is taught and promotes collaboration across K–12 schools, higher education institutions, and industry partners 

 

Effect: By improving access to high‑quality AI learning opportunities, the act aims to broaden participation in the AI economy and strengthen the nation’s long‑term capacity for innovation.

 

Bill: 

https://science.house.gov/2026/6/h-r-5351-nsf-ai-education-act-of-2025

 

H.R. 5581 (LIFT AI Act)

 

Sponsor: Representative Thomas Kean (R-NJ-7)

 

Purpose: The LIFT AI Act authorizes the National Science Foundation to expand programs that build AI literacy among K–12 students and educators, focusing on early, accessible exposure to artificial intelligence concepts. It funds the creation of age‑appropriate learning materials, teacher training, and hands‑on tools that help classrooms explore how AI works and how it affects daily life.

 

Effect: By strengthening foundational AI education, the bill aims to prepare students for an economy increasingly shaped by intelligent technologies and to support a more competitive, future‑ready U.S. workforce.

 

Bill: https://science.house.gov/2026/6/h-r-5584-lift-ai-act

 

H.R. 6461 (READ AI Models Act)

 

Sponsor: Representative Sarah McBride (D-DE-At Large)

 

Purpose: This bill directs NIST to launch a pilot program that creates voluntary tools and standards for documenting how AI models are built, tested, and deployed. This includes developing standardized documentation templates, technical guidance, and other resources that help organizations clearly describe a model’s purpose, data sources, evaluation methods, and limitations.

 

Effect: By improving transparency around the full AI lifecycle, the bill aims to strengthen informed decision‑making, support more effective risk assessment, and encourage the responsible use of AI across government, industry, and research sectors.

 

Bill: https://science.house.gov/2026/6/h-r-6461-read-ai-models-act

 

H.R. 8893 (Protecting Consumers from Deceptive AI Act)

 

Sponsor: Representative Valerie Foushee (D-NC-4)

 

Purpose: This bill directs NIST to advance research, testing, and standards for technologies that can detect, authenticate, and disclose the origin of digital content, including material generated or altered by AI. 

 

Effect: By supporting tools such as provenance tracking, watermarking, and content authentication frameworks, the bill aims to help consumers distinguish genuine media from AI‑generated or manipulated content.

 

Bill: https://science.house.gov/2026/6/h-r-8893-protecting-consumers-from-deceptive-ai-act

 

H.R. 9333 (AI Flaw Reporting and Security Enhancement Act)

 

Sponsor: Representative Deborah Ross (D-NC-2)

 

Purpose: This bill directs NIST, working with CISA (Cybersecurity and Infrastructure Security Agency), to create a voluntary national program for reporting, collecting, and tracking vulnerabilities, failures, and other flaws found in AI systems. The program would develop common definitions, standardized reporting frameworks, and technical guidance to help organizations describe and share information about AI‑related safety and security issues in a consistent way. It also calls for building a national database of AI vulnerabilities, improving visibility into how and why AI systems fail.

 

Effect: By strengthening transparency and coordination across sectors, the bill aims to support more effective risk assessment, incident response, and responsible AI deployment.

 

Bill: https://science.house.gov/2026/6/h-r-9333-ai-flaw-reporting-and-security-enhancement-act

 

H.R. 9334 (Workforce for AI Trust Act)

 

Sponsor: Representative Zoe Lofgren (D-CA-18) 

 

Purpose: The Workforce for AI Trust Act directs the National Science Foundation to expand programs that develop a workforce capable of building, evaluating, and governing trustworthy AI systems. It supports interdisciplinary AI fellowships, skills‑based training, and specialized workshops that bring together expertise from fields like computer science, ethics, law, and social sciences. The bill also tasks NIST with broadening its AI workforce initiatives and creating a national framework that identifies the specific tasks, knowledge, and skills required for AI‑related work across sectors.

 

Effect: Together, these efforts aim to strengthen the talent pipeline needed to ensure AI technologies are safe, reliable, and aligned with societal values.

 

Bill:

https://science.house.gov/2026/6/h-r-9334-workforce-for-ai-trust-act

 

H.R. 9372 (Data Infrastructure Energy Measurement and Standards Act)

 

Sponsor: Representative Suhas Subramanyam (D-VA-10)

 

Purpose: This bill directs NIST, working with the Department of Energy, to improve how the energy and water use of data centers are measured, reported, and analyzed, especially as AI and advanced computing dramatically increase resource demands. The bill supports the creation of standardized metrics, best‑practice guidelines, and data‑sharing mechanisms that give operators, researchers, and policymakers clearer insight into how data centers consume power and water.

 

Effect: By strengthening measurement and forecasting capabilities, the act aims to inform smarter decision‑making, improve efficiency, and deepen national understanding of the environmental footprint associated with AI and other high‑performance computing technologies.

 

Bill:

https://science.house.gov/2026/6/h-r-9372-data-infrastructure-energy-measurement-and-standards-act

 

This surge of AI‑focused legislation in Congress as seen in this article reflects a broader reality. Currently, the United States is locked in an economic and technological race with China, where leadership in artificial intelligence is seen as central to national security, global competitiveness, and future economic growth. Yet, in this economic battle, is AI’s spread into classrooms going to cause an over‑reliance on automated tools.