Supports research on privacy-enhancing technologies, including de-identification and machine learning. Requires National Science Foundation to coordinate with federal agencies. Integrates privacy technologies into cybersecurity. Mandates progress reports and policy recommendations to improve technology adoption and coordination.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of AI risk domains, with primary focus on privacy protection (2.1) through privacy-enhancing technologies. There is implicit coverage of security vulnerabilities (2.2) through integration with cybersecurity programs. The document does not directly address most AI-specific risks, as it focuses on privacy technology research and development rather than AI risk mitigation.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This legislation primarily governs Scientific Research and Development Services through mandated research programs on privacy-enhancing technologies. It also has implications for Information sector entities that collect and process data, and Professional and Technical Services that may adopt these technologies. The governance is primarily focused on federal research agencies rather than regulating specific economic sectors directly.
Hard Law
Legislative Status Summary
This is a binding legislative bill introduced in the U.S. Senate that, if enacted, would create mandatory obligations for federal agencies including the National Science Foundation, NIST, and OSTP. The document uses mandatory language ('shall') throughout and establishes legally enforceable requirements for research support, coordination, reporting, and outreach activities.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily covers the Plan and Design stage through research support and coordination activities, and the Build and Use Model stage through fundamental research on privacy-enhancing algorithms and machine learning. It also addresses Operate and Monitor through ongoing stakeholder engagement and progress reporting requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
No technical scope terms identified.
Technical Scope Summary
The document explicitly mentions machine learning and algorithms as part of privacy-enhancing technologies research. It does not specifically mention AI models, AI systems, frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds. The focus is on privacy-enhancing technologies broadly, which may include AI components but are not exclusively AI-focused.
Document data from AGORA, CSET Emerging Technology Observatory.