Washington (2022) SB 5460

Amends autonomous vehicle testing regulations, requiring self-certifying entities to provide contact information, testing locations, vehicle identification, insurance proof, accident reports, and notify law enforcement. Permits public access to testing information and annual legislative reports. Effectively defines "autonomous" vehicles. Effective October 1, 2022.

  • Authority: Washington
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2021-07-25

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
  • Governance failure
  • Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, primarily addressing AI system security vulnerabilities (2.2) through insurance and accident reporting requirements, and governance failure (6.5) through regulatory oversight mechanisms. The focus is on operational safety and regulatory compliance for autonomous vehicles rather than broader AI risks.

Sector coverage

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

  • Trade, Transportation & Utilities
  • Public Administration (excl. National Security)

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

  • Agriculture, Mining, Construction & Manufacturing
  • Information
  • Finance & Insurance
  • Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Trade, Transportation and Utilities sector through regulation of autonomous vehicle testing on public roadways. It also has implications for the Information sector as autonomous vehicles involve AI/software systems, and potentially affects Manufacturing through vehicle production requirements.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state statute enacted by the Washington State Legislature that amends existing law (RCW 46.92.010 and 46.37.480) with mandatory requirements for autonomous vehicle testing, including specific obligations, enforcement mechanisms, and legal consequences for non-compliance.

Actors

Proposer

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

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Entities: Self-certifying entities testing autonomous motor vehicles
  • Summary: The law applies to 'self-certifying entities' that test autonomous motor vehicles on public roadways in Washington State. These entities are both developers and deployers of autonomous vehicle systems.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Washington State Department of Licensing; Local and state law enforcement agencies; City police departments; County sheriff departments; Washington State Patrol
  • Summary: The department (Department of Licensing) administers the self-certification program and receives required information. Law enforcement agencies receive advance notice and handle collision/violation reports.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Washington State Department of Licensing; House and Senate Transportation Committees of the Legislature
  • Summary: The department monitors compliance through information collection and provides public access to data. Annual reports are submitted to legislative transportation committees for oversight.

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 primarily covers the Deploy and Operate and Monitor stages of the AI lifecycle, with requirements for testing notification, deployment conditions, collision reporting, and ongoing monitoring of autonomous vehicle performance on public roadways.

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 defines and covers autonomous vehicles (AI systems) at SAE levels 4-5, but does not mention AI models, foundation models, generative AI, or compute thresholds. The focus is on task-specific autonomous driving systems rather than general-purpose AI.

https://app.leg.wa.gov/billsummary/?BillNumber=5460&Year=2021&Initiative=false
https://agora.eto.tech/instrument/1588
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Document data from AGORA, CSET Emerging Technology Observatory.