Targeting Online Sales of Fentanyl Act

• 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

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

• Cyberattacks, weapon development or use
• Governance failure

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

• AI system security vulnerabilities
• Fraud, scams, and targeted manipulation
• Competitive dynamics
• AI possessing dangerous capabilities
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses risks related to malicious actors (4.2, 4.3) using AI and online platforms for illicit drug sales, AI system capabilities for detection (7.2, 7.3), and governance/enforcement mechanisms (6.5). It focuses on studying how AI technologies can combat illegal activities and examining interagency collaboration frameworks.

Sector coverage

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

• Information
• Public Administration (excl. National Security)

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

• Finance & Insurance
• Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs AI use in the Information sector (online platforms and providers) and intersects with Public Administration (law enforcement) and Finance and Insurance (payment processing for illicit transactions). The focus is on studying how these sectors use AI to detect and combat online drug sales.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act passed by the United States Congress that mandates a GAO study with specific requirements and a deadline for reporting to Congress.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is an Act of Congress, indicating that the United States Congress is the proposing body that initiated and passed this legislation.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Entities: Government Accountability Office (GAO); providers (online platforms); Federal law enforcement agencies
• Summary: The Act targets the GAO to conduct the study, and the study itself examines providers (online platforms using AI for detection) and Federal agencies' enforcement efforts against online drug sales.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Federal law enforcement agencies
• Summary: Congress has oversight authority to ensure GAO compliance with the study mandate. The document also examines Federal law enforcement agencies' enforcement mechanisms against online drug sales.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Government Accountability Office (GAO); United States Congress
• Summary: The GAO is tasked with monitoring and studying the effectiveness of AI technologies and enforcement mechanisms. Congress will monitor the GAO's completion of the study through the required report.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily focuses on the Deploy and Operate and Monitor stages, examining how AI systems (machine learning, algorithmic technology) are deployed by providers to detect illicit drug sales and how these systems are monitored for effectiveness. It also touches on verification through the study of enforcement mechanisms and outcomes.

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 machine learning and algorithmic technology as AI models used by providers. It does not reference frontier AI, general purpose AI, foundation models, or specific compute thresholds. The focus is on task-specific AI systems deployed for detecting and combating illicit drug sales online.