S3193 Algorithm Accountability Act 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-11-18

Risk subdomain coverage

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

• Overreliance and unsafe use
• Governance failure

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

• Exposure to toxic content
• Loss of human agency and autonomy

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 5-6 subdomains, with strong focus on AI system safety failures (7.3), human-computer interaction risks (5.1, 5.2), exposure to toxic content (1.2), and governance mechanisms (6.5). Coverage is concentrated in algorithmic safety, user harm prevention, and platform accountability domains.

Sector coverage

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

• Information

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector, specifically social media platforms and interactive computer services. It does not regulate AI use across multiple economic sectors but rather focuses on a specific type of service within the information/technology industry.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative instrument (Congressional bill) that amends existing federal law (Section 230 of the Communications Act of 1934) to impose mandatory duties of care on social media platforms with explicit enforcement mechanisms including loss of liability protection and private rights of action for damages.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senate and House of Representatives of the United States of America
• Summary: The document is a Congressional bill proposed by the United States Congress, as indicated by the standard legislative format and the enacting clause.

Target

• Entity Types: AI_Deployer
• Entities: providers of social media platforms; for-profit interactive computer services
• Summary: The bill explicitly targets providers of social media platforms that use recommendation-based algorithms, defining them as for-profit interactive computer services with specific characteristics and user thresholds.

Enforcer

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Entities: district court of the United States; legal representatives of injured parties
• Summary: Enforcement is conducted through federal district courts via private rights of action, where injured parties or their legal representatives can bring civil actions for damages.

Monitor

• Summary: The document does not establish a specific monitoring body or oversight mechanism. Monitoring appears to be implicit through the litigation process rather than through a designated regulatory agency.

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
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document comprehensively covers multiple AI lifecycle stages with particular emphasis on Build and Use Model, Verify and Validate, Deploy, and Operate and Monitor stages. It explicitly addresses the design, training, testing, deployment, operation, and maintenance of recommendation-based algorithms.

Technical Scope

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

• AI Systems
• Task-specific AI

Technical Scope Summary

The document explicitly focuses on AI systems (recommendation-based algorithms) rather than AI models per se. It does not mention frontier AI, general purpose AI, foundation models, or compute thresholds. The scope is specifically limited to recommendation algorithms used by social media platforms.