Requires the state government to establish a public inventory of its use of artificial intelligence systems and to mandate impact assessments of its AI systems to prevent unlawful discrimination; establishes a working group to make recommendations on the state government's use of AI systems
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). Coverage is concentrated in discrimination prevention and government AI governance domains.
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 document primarily governs AI use in Public Administration (excluding National Security) through requirements for state agencies and the Judicial Department. It does not regulate private sector AI use except indirectly through state contracting requirements.
Hard Law
Legislative Status Summary
This is a binding legislative act enacted by the Connecticut General Assembly with mandatory obligations, specific deadlines, and enforcement mechanisms for state agencies and contractors.
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 (through policy development), Verify and Validate (through impact assessments), Deploy (through implementation requirements), and Operate and Monitor (through ongoing assessments and inventories). It does not explicitly address data collection or model building stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers AI systems broadly, including both artificial systems and machine learning techniques. It does not mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI systems used by state agencies regardless of their technical characteristics.
Document data from AGORA, CSET Emerging Technology Observatory.