Contraband Awareness Technology Catches Harmful Fentanyl Act

Establishes pilot projects for testing AI and other technology enhancements to improve contraband detection at U.S. land ports of entry. Requires assessments of technology effectiveness, integration, and cost. Involves private sector input and mandates reporting to Congress on outcomes and recommendations.

  • 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.

  • AI system security vulnerabilities
  • 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, with limited focus on AI system security (2.2) through testing requirements and potential implicit coverage of lack of robustness (7.3) through performance validation requirements. The document primarily addresses contraband detection technology deployment rather than AI-specific 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

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

  • Trade, Transportation & Utilities
  • Information

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs Public Administration excluding National Security and National Security sectors through regulation of U.S. Customs and Border Protection operations. It also has minimal coverage of the Information sector through involvement of private sector AI technology providers.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding Congressional Act with mandatory language requiring the Secretary of Homeland Security to establish pilot projects, conduct assessments, and submit reports to Congress with specific timelines and requirements.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is a Congressional Act proposed and enacted by the United States Congress, as indicated by the legislative format and structure.

Target

  • Entity Types: AI_Governance_Actor, AI_Developer, AI_Infrastructure_Provider
  • Entities: Secretary of Homeland Security; U.S. Customs and Border Protection; CBP Innovation Team; Office of Field Operations; private sector technology providers
  • Summary: The Act targets the Department of Homeland Security and its components (CBP) to implement pilot projects, and involves private sector technology providers who may participate in providing AI and technology enhancements for testing.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress; Committee on Homeland Security and Governmental Affairs of the Senate; Committee on Homeland Security of the House of Representatives
  • Summary: Congress enforces compliance through oversight mechanisms, requiring mandatory reports from the Secretary of Homeland Security to specified congressional committees.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: CBP Innovation Team; Secretary of Homeland Security; appropriate congressional committees
  • Summary: The CBP Innovation Team monitors the pilot projects by testing and collecting data, while the Secretary reports findings to Congress. Congressional committees receive reports for oversight purposes.

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
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Verify and Validate, Deploy, and Operate and Monitor stages. It establishes pilot projects to test AI technology enhancements for contraband detection, requiring comprehensive performance assessment, deployment planning, and ongoing monitoring of effectiveness.

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 and machine learning as technology categories to be tested. It focuses on AI systems for contraband detection at ports of entry but does not specifically mention frontier AI, general purpose AI, foundation models, or compute thresholds. The scope is task-specific AI for inspection and threat detection.

https://www.congress.gov/bill/118th-congress/senate-bill/4062/text
https://agora.eto.tech/instrument/881
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Document data from AGORA, CSET Emerging Technology Observatory.