Duplicative Grant Consolidation Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-03-14

Risk subdomain coverage

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

• Governance failure

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 6.5 (Governance Failure) receiving a coverage score of 2. The document focuses narrowly on using AI to identify duplicative grant applications and detect waste, fraud, and abuse, which relates to governance mechanisms but does not substantively address the risks of governance failure or other AI-related harms.

Sector coverage

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

• Public Administration (excl. National Security)

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

• Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration (excluding National Security) as it regulates federal government grant administration processes. It also has minimal coverage of Scientific Research and Development Services through the involvement of NSF and NIST in the consultation process.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional act that creates a binding legal obligation on the Director of the Office of Management and Budget to submit a report to Congressional committees, using mandatory language ('shall submit').

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled as an Act of Congress and represents Congressional legislation requiring federal agencies to report on AI feasibility.

Target

• Entity Types: AI_Governance_Actor
• Entities: Director of the Office of Management and Budget; Secretary of Energy; Director of the National Science Foundation; Director of the National Institute of Standards and Technology; executive agency
• Summary: The Act applies to and creates obligations for specific federal officials and executive agencies who must assess AI feasibility for grant application review.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; appropriate Congressional committees
• Summary: Congress enforces compliance through its oversight authority, with the reporting requirement to Congressional committees serving as the enforcement mechanism.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: appropriate Congressional committees
• Summary: Congressional committees will receive and review the report on AI feasibility, serving as the monitoring body for this requirement.

AI Lifecycle Stages

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

• Plan and Design

AI Lifecycle Summary

The document focuses primarily on the Plan and Design stage, as it requires a feasibility report on leveraging AI for a specific purpose (identifying duplicative grant applications). It does not substantively address data collection, model building, verification, deployment, or operational monitoring stages.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document mentions artificial intelligence in general terms but does not define or distinguish between AI models, AI systems, or any specific types of AI. There is no mention of frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds.