Establishes requirements for state agencies to inventory and assess AI systems annually for discrimination risks. Mandates development of AI governance policies by February 2024. Prohibits AI implementation without impact assessments. Forms a working group to recommend AI best practices and legislation.
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 has good coverage of approximately 3-4 subdomains, with strong focus on unfair discrimination (1.1), unequal performance across groups (1.3), and governance failure (6.5). The legislation specifically addresses discrimination risks in AI systems used by state agencies and establishes governance frameworks to prevent such harms.
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
This legislation exclusively governs AI use within Connecticut state government operations, primarily covering Public Administration. The working group is tasked with making recommendations for private sector regulation in the future, but the current binding requirements apply only to state agencies and the judicial department.
Hard Law
Legislative Status Summary
This is a binding statute enacted by the Connecticut General Assembly with mandatory obligations, specific deadlines, and enforcement through state agencies. The document uses mandatory language throughout and creates legally enforceable requirements for state agencies.
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 Plan and Design, Verify and Validate, Deploy, and Operate and Monitor stages. It mandates impact assessments before deployment and ongoing monitoring after implementation.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers 'artificial intelligence' broadly but does not mention AI models, AI systems, frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI systems as defined in the statute.
Document data from AGORA, CSET Emerging Technology Observatory.