James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, Section 916 ("Strategic management dashboard demonstration")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: NDAA provisions;U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2022-12-23

Risk subdomain coverage

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

• Governance failure
• AI possessing dangerous capabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with only implicit references to system safety and governance. The primary focus is on implementing a management dashboard using AI/ML tools for decision-making, rather than addressing AI risks. Coverage is limited to potential implications around AI system capabilities (7.2) and governance structures (6.5), but these are not explicitly discussed as risks.

Sector coverage

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

• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document governs AI use exclusively within the Public Administration and National Security sectors. It mandates the Department of Defense to implement a strategic management dashboard incorporating AI and machine learning tools for internal management and decision-making purposes.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding statutory provision enacted by the United States Congress as part of the National Defense Authorization Act for Fiscal Year 2023. It imposes mandatory obligations on the Secretary of Defense with specific timelines and requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is Section 916 of the James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, which is enacted by the United States Congress. Congress is the legislative body that proposed and enacted this provision.

Target

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Defense; Department of Defense
• Summary: The document explicitly targets the Secretary of Defense and the Department of Defense, requiring them to conduct a demonstration of a strategic management dashboard and implement specific capabilities.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: As a statutory provision, enforcement authority rests with the United States Congress through its oversight powers over the Department of Defense. Congress monitors compliance with statutory requirements through oversight mechanisms.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: Congress serves as the monitoring body for this statutory requirement, with oversight responsibility to ensure the Department of Defense complies with the mandated demonstration and implementation timeline.

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 by establishing requirements for a strategic management dashboard, and the Build and Use Model stage through its mandate to incorporate AI and machine learning tools. It also addresses Deploy and Operate and Monitor stages by requiring real-time monitoring capabilities and integration with existing performance frameworks.

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 explicitly mentions artificial intelligence and machine learning tools in the context of improving decision making and data analytics. It does not define or distinguish between different types of AI systems, models, or specific technical thresholds. The focus is on AI/ML as tools within a broader management dashboard system.