Requires employers intending to use AI for employee performance evaluation to notify employees in writing 30 days prior to implementation. Tasks the Department of Labor and Industries with enforcement, investigation, and issuing penalties for non-compliance.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
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 primarily addresses transparency and interpretability concerns (7.4) with good coverage through notification requirements about AI use in employee performance evaluations. It minimally addresses robustness concerns (7.3) through verification process disclosure requirements. The document does not substantially address other risk domains as it focuses narrowly on employee notification rather than broader AI risk mitigation.
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
This legislation applies broadly to all employers across all economic sectors in Washington State, as it governs workplace electronic monitoring and AI use in employee performance evaluations. Coverage is uniform across sectors with no sector-specific provisions, though Public Administration and National Security are explicitly included through the definition of 'employer.'
Hard Law
Legislative Status Summary
This is a binding state legislative act with explicit enforcement mechanisms, mandatory compliance language, designated enforcement authority (Department of Labor and Industries), and specific civil penalties ranging from $100 to $5,000 for violations.
Proposer
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 addresses the Deploy and Operate and Monitor stages of the AI lifecycle. It focuses on notification requirements when employers implement or use electronic monitoring including AI systems for performance evaluations, and ongoing operation of these systems in workplace settings.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and addresses artificial intelligence as machine learning systems used for performance evaluation purposes. It also covers electronic monitoring systems more broadly. There is no mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-source models.
Document data from AGORA, CSET Emerging Technology Observatory.