Requires the Agency of Digital Services to maintain and annually review Vermont's AI inventory. Necessitates identification of problematic AI through bias testing and recommends varied remediation measures. Suggests focusing inventory on AI posing potential risks and monitoring outcomes.
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 minimal to good coverage of approximately 6-8 subdomains, with primary focus on AI system safety and failures (7.3, 7.4), governance (6.5), unfair discrimination (1.1, 1.3), and limited coverage of privacy/security (2.2). The document emphasizes monitoring, bias testing, and remediation measures for AI systems used in state government.
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 governs AI use across all Vermont state government operations, which spans multiple sectors including Public Administration (primary focus), Health Care and Social Assistance (through case management examples), and potentially other sectors where state agencies operate. The governance is cross-sectoral, applying to any AI systems procured, developed, or used by state government.
Hard Law
Legislative Status Summary
This is a government report implementing a legislative mandate (Act 132) with binding requirements for state agencies to maintain an AI inventory and conduct bias testing, with enforcement through state administrative oversight.
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 focuses on the Deploy and Operate and Monitor lifecycle stages, with emphasis on post-deployment monitoring, bias testing, and remediation of AI systems already in use by Vermont state government. It also addresses aspects of Verify and Validate through bias testing requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and automated decision systems but does not reference specific AI categories like frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on AI systems broadly used in state government operations.
Document data from AGORA, CSET Emerging Technology Observatory.