Establishes a permanent commission to monitor the use of artificial intelligence in Rhode Island state government and recommend changes to the state’s use of automated decision-making (ADM) systems. Requires the commission to submit an annual, public report detailing their findings.
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 8-10 subdomains, with strongest focus on governance failure (6.5), lack of transparency (7.4), unfair discrimination (1.1), and unequal performance (1.3). Coverage is concentrated in governance structures, transparency/accountability, and fairness domains, with implicit coverage of privacy and system robustness concerns.
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 sectors of Rhode Island state government operations, with explicit coverage of Public Administration (excluding National Security). The commission's mandate extends to examining automated decision systems affecting legal rights, social services, education, health care, and judicial processes, indicating multi-sector governance within the public sector.
Hard Law
Legislative Status Summary
This is a binding legislative act from the Rhode Island General Laws that establishes a permanent commission with mandatory requirements, including annual reporting obligations and specific composition requirements with defined timelines.
Proposer
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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 comprehensively covers all AI lifecycle stages from procurement and design through deployment and ongoing monitoring. It emphasizes validation, testing, evaluation, and continuous monitoring of automated decision systems used by state government, with particular focus on transparency, accountability, and impact assessment throughout the entire lifecycle.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers both 'artificial intelligence' and 'automated decision systems' as core concepts. 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 automated decision-making systems broadly defined.
Document data from AGORA, CSET Emerging Technology Observatory.