Rural Prosperity and Food Security Act of 2024

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

Risk subdomain coverage

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

• Environmental harm

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal risk domain coverage, with only subdomain 6.6 (Environmental harm) receiving a coverage score of 2. The document primarily focuses on collaborative AI research for agricultural and energy applications, with brief mentions of emissions reduction and environmental sustainability, but does not substantively address AI-specific risks or harms across most risk domains.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Scientific Research & Development Services
• Public Administration (excl. National Security)

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

• Information
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs AI research and development in Agriculture, Mining, Construction and Manufacturing (agriculture focus), Scientific Research and Development Services (collaborative R&D), and Trade, Transportation and Utilities (energy systems). It also addresses Public Administration through interagency coordination requirements.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress that establishes mandatory collaborative research activities among federal agencies with clear legal authority and obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled as an Act of the United States Congress, indicating Congressional authorship and proposal authority.

Target

• Entity Types: AI_Governance_Actor
• Entities: Department of Agriculture; Department of Energy; National Science Foundation; National Laboratories; institutions of higher education; nonprofit institutions; industry partners
• Summary: The Act mandates collaborative research activities among three federal agencies and explicitly mentions collaboration with National Laboratories, universities, nonprofits, and industry partners.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Committee on Agriculture, Nutrition, and Forestry; Committee on Commerce, Science, and Transportation; Committee on Energy and Natural Resources of the Senate; Committee on Agriculture; Committee on Science, Space, and Technology of the House of Representatives
• Summary: Congressional committees are designated as recipients of mandatory reports, providing oversight and enforcement through Congressional authority.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Department of Agriculture; Department of Energy; National Science Foundation; Congressional committees (same as Enforcer)
• Summary: The three federal agencies are required to jointly monitor and report on interagency coordination, research achievements, and future opportunities, with Congressional committees receiving these reports for oversight.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily covers the Plan and Design stage through its focus on establishing collaborative research frameworks and identifying focus areas. It also addresses Build and Use Model through explicit mentions of AI algorithm development and optimization for agricultural applications.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions AI, machine learning, and algorithms in the context of agricultural and energy applications. It focuses on predictive analysis and optimization algorithms but does not reference frontier AI, general purpose AI, foundation models, or compute thresholds.