Washington SB 5092 (2021-22), Section 151

• Authority: Washington
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2021-05-18

Risk subdomain coverage

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

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Governance failure
• Lack of transparency or interpretability

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

• Compromise of privacy
• Loss of human agency and autonomy

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 4-5 subdomains, with strong focus on unfair discrimination (1.1), unequal performance (1.3), lack of transparency (7.4), and governance failure (6.5). Coverage is concentrated in discrimination/bias prevention, algorithmic fairness, and AI governance domains.

Sector coverage

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

• Public Administration (excl. National Security)

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

• Health Care & Social Assistance
• National Security

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs AI use in Public Administration (excluding National Security) through state agency automated decision systems. It also has minimal coverage of Health Care and Social Assistance, and National Security through specific agency examples mentioned in the work group composition.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative appropriations bill with mandatory language requiring specific actions by state agencies, including the creation of a work group and submission of reports.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Washington State Legislature
• Summary: This is a legislative appropriations bill (SB 5092) enacted by the Washington State Legislature, establishing requirements for state agencies.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Entities: Office of the Chief Information Officer; Department of Children, Youth, and Families; Department of Corrections; Department of Social and Health Services; Department of Enterprise Services; public agencies
• Summary: The document targets state agencies that develop, procure, or use automated decision systems, specifically naming several departments and referring broadly to 'public agencies' that use such systems.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Washington State Legislature; Office of Financial Management; Office of the Chief Information Officer
• Summary: The legislature enforces through appropriations control and reporting requirements. The Office of Financial Management has approval authority over fee increases and budget matters. The Office of the Chief Information Officer has oversight authority over IT projects and procurement.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Fiscal committees of the legislature; Office of the Chief Information Officer; Office of Financial Management
• Summary: The fiscal committees of the legislature receive reports and monitor implementation. The Office of the Chief Information Officer leads the work group and maintains oversight of IT projects through the statewide IT dashboard.

AI Lifecycle Stages

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

• Plan and Design
• Collect and Process Data
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple lifecycle stages with primary focus on Plan and Design (examining when systems should be prohibited and procurement requirements), Verify and Validate (reviewing and auditing systems for fairness), Deploy (procurement approval processes), and Operate and Monitor (periodic audits and appeals processes for systems in operation).

Technical Scope

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

• AI Models
• AI Systems

Technical Scope Summary

The document explicitly defines and covers 'automated decision systems' which incorporate machine learning and artificial intelligence techniques. It does not distinguish between different types of AI (frontier, general purpose, task-specific, etc.) or mention compute thresholds or open-weight models.