A bill to waive immunity under section 230 of the Communications Act of 1934 for claims and charges related to generative artificial intelligence.

• 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.

• Exposure to toxic content
• False or misleading information
• Competitive dynamics
• Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal direct coverage of specific risk subdomains. It primarily addresses legal liability frameworks rather than specific AI risks. There is implicit coverage of malicious actors (4.1, 4.2, 4.3) through the removal of liability protections for harmful conduct, and minimal implicit coverage of governance failure (6.5) through addressing gaps in existing regulatory frameworks. Coverage scores are predominantly 1-2 across all 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 providers of interactive computer services (social media platforms, online services, telecommunications companies) that use or provide generative AI. The liability framework could apply across multiple sectors where interactive computer services are deployed.

Legislative Status

Hard Law

Legislative Status Summary

This is a proposed federal statute that would create binding legal obligations by amending existing federal law (Communications Act of 1934). It uses mandatory language and would establish enforceable legal liability for providers of interactive computer services involving generative AI.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Mr. Hawley; Mr. Blumenthal; United States Senate; Committee on Commerce, Science, and Transportation
• Summary: The bill was introduced in the United States Senate by Senators Hawley and Blumenthal and referred to the Committee on Commerce, Science, and Transportation, as indicated in the bill header.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: providers of interactive computer services
• Summary: The bill explicitly targets providers of interactive computer services that use or provide generative artificial intelligence, removing their Section 230 immunity protections.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Federal courts; State courts; Federal prosecutors; State prosecutors
• Summary: Enforcement would occur through civil actions and criminal prosecutions brought under federal or state law in the court system.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The bill does not specify monitoring bodies. Monitoring would occur through the general judicial system as cases are brought, but no specific oversight or monitoring agency is designated.

AI Lifecycle Stages

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

• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages but rather on legal liability frameworks. It implicitly covers deployment and operation stages by removing immunity for providers who deploy or operate generative AI systems, but does not address design, data collection, model building, or validation stages.

Technical Scope

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

• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly defines and focuses exclusively on generative artificial intelligence. It does not mention AI models, AI systems, frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds.