HR 4155 American Agricultural Security Research Act of 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-06-26

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• AI system security vulnerabilities
• Cyberattacks, weapon development or use

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of 2-3 risk subdomains, with primary focus on AI system security vulnerabilities (2.2) and cyberattacks/bioterrorism threats (4.2). Coverage is concentrated in security and malicious actor domains as they relate to agricultural systems.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Agriculture, Mining, Construction & Manufacturing
• Scientific Research & Development Services
• Educational Services

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Accommodation, Food & Other Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Agriculture sector through establishment of research centers and grant programs for agricultural AI, biosecurity, and cybersecurity. It also substantially governs Educational Services and Scientific Research and Development Services sectors by establishing requirements for universities and research institutions conducting agricultural AI research.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill that, if enacted, would create binding legal obligations on the Secretary of Agriculture with mandatory implementation requirements, authorization of appropriations, and specific reporting requirements to Congress.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The bill was introduced by Mr. Bacon on June 26, 2025, and referred to the Committee on Agriculture. The proposer is the U.S. Congress acting through its legislative process.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Summary: The document primarily targets the Secretary of Agriculture who must recognize centers of excellence and award grants. It also targets educational and research institutions eligible to host centers or receive grants for agricultural AI research and biosecurity programs.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Secretary of Agriculture is designated as the primary enforcer with authority to recognize centers of excellence, award grants, ensure compliance with requirements, and implement the programs established by the Act.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Monitoring is conducted through mandatory annual reporting by the Secretary to Congressional committees, which includes detailed information on projects, funding, technology transfer, and intellectual property. Congress exercises oversight through these reports and appropriations review.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document addresses multiple AI lifecycle stages with emphasis on planning, development, evaluation, and deployment of digital agriculture systems. It covers the full development lifecycle from initial design through deployment of AI and remote sensing systems for agricultural applications.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Systems
• Task-specific AI

Technical Scope Summary

The document explicitly mentions AI systems (artificial intelligence and remote sensing systems) in the context of digital agriculture. It does not specify AI model types, frontier AI, general purpose AI, or compute thresholds. The focus is on task-specific agricultural AI applications including precision agriculture and automation technologies.