Stop Smuggling Illicit Synthetic Drugs on U.S. Transportation Networks Act of 2024

• 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
• Competitive dynamics

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 AI system security (2.2) through the development of detection technologies, and competitive dynamics (6.4) through the mandate for accelerated research and deployment. The document primarily focuses on developing AI-based inspection technologies for drug detection rather than addressing AI risks comprehensively.

Sector coverage

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

• Trade, Transportation & Utilities
• Scientific Research & Development Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Trade, Transportation and Utilities sector through its focus on detecting illicit drugs on U.S. transportation networks. It also governs Scientific Research and Development Services through mandated R&D activities, and Public Administration excluding National Security through requirements placed on federal agencies.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress with mandatory language requiring federal agencies to develop and submit a strategy within a specified timeframe.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is titled as an 'Act of 2024' which indicates it is proposed legislation from the United States Congress. The structure and format are consistent with Congressional legislation.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Summary: The Act applies to multiple federal agencies and officials who are required to develop a joint strategy for AI and advanced technologies. These entities will be responsible for research, development, and deployment of AI-based inspection technologies.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The specified congressional committees serve as enforcement bodies through their oversight function, receiving the required report and having authority to monitor compliance with the Act's requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The same congressional committees that enforce also monitor implementation through the required report submission, allowing them to track progress on the strategy development and deployment of AI technologies.

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

AI Lifecycle Summary

The document primarily covers the Plan and Design stage by mandating development of a joint strategy for AI technologies. It also addresses Build and Use Model through references to research and development, and Deploy through the requirement to accelerate deployment of AI-based inspection technologies.

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 as one of the advanced inspection technologies to be developed. It does not specify particular types of AI (frontier, general purpose, task-specific, etc.) or mention compute thresholds, foundation models, or open-source models. The focus is on AI as a detection technology rather than detailed AI system specifications.