Establishes centers of excellence for research on digital agriculture, including AI and remote sensing. Requires partnerships to enhance coordination and address agricultural challenges. Mandates annual reporting on projects, funding, and intellectual property actions. Extends program duration to 2029.
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 only subdomain 7.3 (Lack of robustness) receiving a score of 2. The document establishes research centers for digital agriculture including AI, but does not substantively address AI-specific risks, harms, or safety concerns. It focuses on agricultural research infrastructure rather than AI governance or 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
The document primarily governs AI use in Agriculture, Mining, Construction and Manufacturing (specifically agriculture), with secondary coverage of Scientific Research and Development Services and Educational Services through the establishment of research centers at academic institutions.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the United States Congress with mandatory obligations on the Secretary of Agriculture, including establishment of centers, reporting requirements, and specific prohibitions.
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 covers multiple AI lifecycle stages with primary focus on Plan and Design (establishing research centers and partnerships), Build and Use Model (developing and evaluating AI systems), Deploy (deploying digital agriculture AI), and Operate and Monitor (through annual reporting on projects and intellectual property). The document does not explicitly address data collection or verification/validation stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems in the context of digital agriculture, including artificial intelligence and remote sensing systems. It does not define or distinguish between different types of AI (frontier, general purpose, task-specific, foundation models, generative, predictive) or mention compute thresholds or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.