Requires each Wisconsin state agency to report biennially on AI tool usage, efficiency improvements, and privacy policies. Instructs the Legislative Audit Bureau to audit agency AI tool use for efficiency and effectiveness by June 2025.
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 approximately 3-4 risk subdomains, primarily focused on privacy protection (2.1), system performance and robustness (7.3), and transparency (7.4). Coverage is concentrated in operational governance and accountability rather than specific AI safety or societal risks.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
This legislation exclusively governs AI use within Wisconsin state government agencies, falling squarely within Public Administration. It does not regulate AI use in private sector industries or other economic sectors.
Hard Law
Legislative Status Summary
This is a Wisconsin state statute creating binding legal obligations on state agencies to report on AI usage and undergo audits, with mandatory compliance language throughout.
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 covers multiple lifecycle stages with primary focus on deployment and operational monitoring of AI tools already in use by state agencies. It also addresses development activities and evaluation/validation through required performance assessments.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines 'artificial intelligence tool' and mentions specific AI technologies including generative AI, large language models, and machine learning. It does not mention frontier AI, general purpose AI, foundation models, compute thresholds, or open-source models.
Document data from AGORA, CSET Emerging Technology Observatory.