Rhode Island House Resolution 6423

• Authority: Rhode Island
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2023-06-13

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Compromise of privacy
• AI system security vulnerabilities
• Loss of human agency and autonomy
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

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 unfair discrimination (1.1), unequal performance (1.3), governance failure (6.5), and lack of transparency (7.4). The resolution specifically addresses bias in AI systems, validation and testing procedures, and regulatory oversight gaps.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This resolution primarily governs AI use within Public Administration (excluding National Security), as it addresses automated decision-making systems used by Rhode Island state government agencies. The document does not regulate private sector AI use but focuses exclusively on government operations and services.

Legislative Status

Soft Law

Legislative Status Summary

This is a non-binding House resolution that requests information and recommendations from state agencies but does not create enforceable legal obligations or penalties.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Rhode Island House of Representatives
• Summary: The document is a House Resolution proposed by the Rhode Island House of Representatives, as indicated by the title and the resolving clauses.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Entities: Department of Administration; RI Division of Information Technology; State of Rhode Island
• Summary: The resolution targets state government agencies that use automated decision systems, specifically requesting information from the Department of Administration and RI Division of Information Technology about AI use by the State of Rhode Island.

Enforcer

• Summary: The resolution does not establish any enforcement mechanisms or designate enforcement authorities. It is a request for information and recommendations, not a binding regulation with enforcement provisions.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: House Committee on Innovation, Internet and Technology
• Summary: The resolution requests that information be provided to the House of Representatives and specifically to the Chair of the House Committee on Innovation, Internet and Technology, indicating this committee will receive and review the findings.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document addresses multiple lifecycle stages with primary focus on Verify and Validate (testing and evaluation of automated decision systems for bias), Deploy (implementation decisions and timelines), and Operate and Monitor (ongoing monitoring of systemic changes and enforcement of protocols). It also touches on Plan and Design through recommendations about where AI should or should not be used.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems
• Predictive AI

Technical Scope Summary

The document explicitly mentions AI, automated decision systems, and algorithmic decision-making. It does not reference specific AI categories like frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on automated decision systems used by government agencies.