Washington Senate Bill 5152

• Authority: Washington
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2023-07-23

Risk subdomain coverage

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

• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation

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

• False or misleading information
• Pollution of information ecosystem

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses risks related to malicious actors using AI-generated synthetic media for disinformation and manipulation in political campaigns. It has good coverage of disinformation/surveillance (4.1) and fraud/manipulation (4.3), with minimal coverage of misinformation (3.1) and information pollution (3.2). The focus is on preventing electoral manipulation through deepfakes rather than broader AI safety or governance concerns.

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)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector (media, broadcasting, telecommunications, interactive computer services) and Public Administration (electoral processes and political campaigns). It regulates how synthetic media can be used in political communications across various media platforms.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state legislative act with mandatory language, legal enforcement mechanisms including injunctive relief and damages, and court-based enforcement procedures.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Legislature of the State of Washington
• Summary: The document is a legislative act enacted by the Washington State Legislature, as indicated in the opening clause.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: Sponsors of electioneering communications, media disseminators, interactive computer service providers, information content providers
• Summary: The bill targets sponsors who create or disseminate synthetic media in electioneering communications, as well as media platforms and interactive computer services that disseminate such content.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Courts, Public Disclosure Commission
• Summary: Courts have jurisdiction to grant injunctive relief and award damages. The Public Disclosure Commission is directed to adopt rules but is explicitly prohibited from enforcement action.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Public Disclosure Commission
• Summary: The Public Disclosure Commission is tasked with adopting rules to further the purpose of the chapter, suggesting a monitoring and regulatory role, though not an enforcement role.

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 focuses primarily on the Deploy and Operate and Monitor stages, as it regulates the publication and dissemination of synthetic media in electioneering communications and requires disclosure mechanisms. It does not address earlier stages like planning, data collection, or model building.

Technical Scope

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

• Generative AI

Technical Scope Summary

The document explicitly defines and regulates synthetic media created using generative adversarial networks and other digital technology. It does not mention AI models, AI systems, frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on the output (synthetic media) rather than the underlying AI technology.