S 2600 A bill to require a Defense Science Board study on optimal organizational structure for digital solutions 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: 2025-07-31

Risk subdomain coverage

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

• Governance failure

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

• Competitive dynamics
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, primarily addressing governance structures (6.5) with brief implicit references to competitive dynamics (6.4) and system capabilities (7.3). As a bill directing a study on organizational structures for digital solutions including AI systems, it focuses on governance mechanisms rather than specific AI risks and harms.

Sector coverage

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

• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document exclusively governs the National Security sector, specifically addressing organizational structures for digital solutions engineering including AI systems within the Department of Defense and military departments.

Legislative Status

Hard Law

Legislative Status Summary

This is a bill introduced in the U.S. Congress with binding mandatory language requiring the Secretary of Defense to direct a study. If enacted, it would create legally enforceable obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The bill was introduced by Senator Rounds in the U.S. Senate and referred to the Committee on Armed Services, indicating Congress as the proposing authority.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Summary: The study targets existing DoD organizational structures supporting digital solutions engineering, including service-based software delivery organizations and entities developing AI systems and software applications for defense purposes.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Secretary of Defense is responsible for directing the Defense Science Board to conduct the study and submitting the report to Congress. Congressional defense committees have oversight authority.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Congressional defense committees receive the final report and provide oversight. The Defense Science Board conducts the evaluation and monitors implementation through recommended metrics.

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 organizational structures for supporting AI and digital solutions engineering across multiple lifecycle stages. It explicitly covers development (Build and Use Model), deployment (Deploy), and sustainment (Operate and Monitor) of AI systems within the Department of Defense context.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document explicitly mentions AI systems, software applications, data engineering solutions, and digital technologies. It does not specify model types (frontier, general purpose, task-specific, foundation, generative, predictive) or compute thresholds. There is no mention of open-weight/open-source models.