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.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
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.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
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.
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.
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Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
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.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
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.
Document data from AGORA, CSET Emerging Technology Observatory.