Building Resilient Innovation, Digital Growth, and Entrepreneurship with Africa 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: 2025-07-22

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

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, with only subdomain 2.2 (AI system security vulnerabilities) receiving a score of 2. The document is primarily focused on promoting AI development, investment opportunities, and partnerships in Africa rather than addressing AI risks and harms. It briefly mentions cybersecurity training and infrastructure strengthening as support mechanisms but does not comprehensively address AI risk mitigation.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Scientific Research & Development Services
• Educational Services
• Health Care & Social Assistance
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document references AI development and investment across multiple sectors in Africa, with explicit mention of finance, agriculture, health, energy, education, telecommunications, and cloud infrastructure. The document does not regulate these sectors in the traditional sense but rather establishes a U.S. government strategy to support and promote AI development and investment in these sectors across African countries.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill that, if enacted, would create binding legal obligations on named U.S. government officials (Secretary of State, Secretary of Defense, Secretary of Treasury) using mandatory language such as 'shall submit', 'shall convene', and 'shall take place'. The document establishes specific deadlines and reporting requirements enforceable through congressional oversight.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This document is a Congressional bill presented to the Senate and House of Representatives of the United States for enactment. The text begins with 'Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled.'

Target

• Entity Types: AI_Governance_Actor
• Summary: The bill creates binding obligations on specific U.S. government officials to develop strategies, convene summits, and submit reports. These officials are the primary targets of the legislation's requirements.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Enforcement is implicit through congressional oversight mechanisms. The bill requires reports to be submitted to 'appropriate congressional committees,' which are specifically defined and will monitor compliance through their oversight functions.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Monitoring is conducted through mandatory reporting requirements to congressional committees. The Secretary of State must submit a strategy report within one year and a summit outcome report within 180 days after the summit, enabling congressional oversight and evaluation.

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 requiring development of a comprehensive strategy for AI investment and partnerships in Africa. It also addresses the Build and Use Model stage through provisions for supporting AI research, development, testing, and manufacturing. Deployment and operational aspects are covered through implementation planning and ongoing partnership structures.

Technical Scope

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

• Task-specific AI

Technical Scope Summary

The document explicitly mentions 'artificial intelligence' and 'advanced technology' throughout but does not specify particular types of AI models or systems. It references AI by incorporating the definition from the National Defense Authorization Act. The focus is on AI development, investment, and entrepreneurship broadly rather than specific technical categories like frontier AI, generative AI, or foundation models. No compute thresholds or distinctions between open-weight and closed models are mentioned.