Amends the National Artificial Intelligence Initiative Act to support NSF fellowships for interdisciplinary AI research, emphasizing ethics and responsible practices. Enhances NIST's role in AI governance workforce development and risk management, focusing on education, technical standards, and professional certifications.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a Congressional Act that amends existing federal law (National Artificial Intelligence Initiative Act of 2020 and National Institute of Standards and Technology Act) with binding legal obligations on federal agencies, using mandatory language throughout.
The document has minimal direct coverage of specific AI risks, with primary focus on building workforce capacity for AI governance and risk management rather than addressing specific risk domains. The document implicitly relates to governance structures (6.5) and system safety (7.3, 7.4) through its emphasis on training professionals in AI risk management, testing, evaluation, and trustworthy AI practices, but does not explicitly describe the risks themselves.
This document does not govern AI use within specific economic sectors. Instead, it establishes federal programs for AI governance workforce development and research fellowships that will train professionals to work across all sectors. The governance applies to federal agencies (NSF and NIST) and educational institutions participating in these programs.
The document addresses multiple AI lifecycle stages with emphasis on Design, Build/Use, Verify/Validate, and Deploy stages through workforce development for trustworthy AI practices. It focuses on training professionals to integrate ethical and responsible practices across the entire AI development and deployment process.
The document uses the general term 'artificial intelligence systems' throughout without defining specific AI types. It does not explicitly mention AI models, frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI systems broadly across all applications and domains.
United States Congress
This is a Congressional Act ('This Act may be cited as the Workforce for AI Trust Act') that amends existing federal legislation, indicating Congress as the proposing authority.
National Science Foundation (NSF), National Institute of Standards and Technology (NIST)
NSF and NIST are designated as the implementing agencies with authority to administer fellowship programs, establish requirements, conduct outreach, and develop standards and guidance.
National Science Foundation (NSF), National Institute of Standards and Technology (NIST)
NSF and NIST have implicit monitoring responsibilities through their administration of fellowship programs, merit review panels, and development of technical standards and guidance for AI risk management.
National Science Foundation (NSF), National Institute of Standards and Technology (NIST), institutions of higher education, graduate students, postdoctoral researchers, organizations implementing AI systems
The Act primarily targets federal agencies (NSF and NIST) to implement fellowship and workforce development programs. Secondary targets include educational institutions receiving awards, students/researchers receiving fellowships, and organizations that will employ the trained AI governance workforce.
3 subdomains (3 Minimal)