California (2017) AB 1444

• Authority: California
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2019-01-01

Risk subdomain coverage

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

• Lack of capability or robustness

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

• Compromise of privacy
• AI system security vulnerabilities
• Competitive dynamics

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3-4 subdomains, with primary focus on AI system security (2.2), lack of robustness (7.3), and competitive dynamics (6.4). Coverage is concentrated in system safety and regulatory framework domains, with limited attention to broader societal risks.

Sector coverage

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

• Trade, Transportation & Utilities

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

• Public Administration (excl. National Security)

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 for public transit purposes. It also has minimal coverage of Public Administration through requirements for local government approval and law enforcement coordination.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding California state statute (AB 1444) with mandatory legal obligations, specific enforcement mechanisms, and formal legislative adoption. It uses mandatory language throughout and creates legally enforceable requirements for autonomous vehicle testing.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a California state statute enacted by the Legislature, as indicated by the opening phrase 'The people of the State of California do enact as follows' and references to legislative intent.

Target

• Entity Types: AI_Deployer
• Summary: The statute specifically authorizes and regulates the Livermore Amador Valley Transit Authority and any private entities working with them to conduct autonomous vehicle testing within specified parameters.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Department of Motor Vehicles is designated as the primary enforcement body with authority to require insurance, approve testing programs, collect safety data, and enforce compliance. Local law enforcement agencies are also involved through the law enforcement interaction plan.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Department of Motor Vehicles is responsible for monitoring through required accident reports, annual disengagement reports, and ongoing data collection. NHTSA provides guidance and compliance oversight for federal motor vehicle safety standards.

AI Lifecycle Stages

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

• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily covers the Deploy and Operate and Monitor lifecycle stages, with some coverage of Verify and Validate. It focuses on requirements for deploying autonomous vehicles in a demonstration project and ongoing monitoring of their performance and safety. There is minimal coverage of 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

• AI Systems
• Task-specific AI

Technical Scope Summary

The document explicitly covers autonomous vehicles and autonomous vehicle technology, which are AI systems. It does not mention AI models, frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on deployed autonomous vehicle systems rather than underlying AI models or training approaches.