Hawaii House Concurrent Resolution 71

Request the Department of Health to convene a Stakeholder Working Group to assess language access in healthcare, including AI impacts, and to recommend enhancements. Require a report to the Legislature by 2025 detailing findings, recommendations, and proposed legislation.

  • Authority: Hawaii
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2024-05-01

Risk subdomain coverage

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

  • Unequal performance across groups

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risks, with only brief mention of AI technologies in the context of language assistance services in healthcare. Coverage is limited to subdomain 1.3 (unequal performance across groups) with a score of 2, as the document addresses disparities in healthcare access for LEP populations that could be affected by AI language services.

Sector coverage

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

  • Health Care & Social Assistance

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

  • Professional & Technical Services
  • Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Health Care and Social Assistance sector, with a focus on language assistance services for Limited English Proficient (LEP) individuals. It also touches on Professional and Technical Services through the inclusion of language service providers.

Legislative Status

Soft Law

Legislative Status Summary

This is a concurrent resolution that requests action from the Department of Health but does not create binding legal obligations or enforcement mechanisms. The language is entirely voluntary using 'requested' throughout.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: House of Representatives of the Thirty-second Legislature of the State of Hawaii; Senate
  • Summary: The resolution is proposed by the Hawaii House of Representatives with Senate concurrence, as indicated in the opening clause.

Target

  • Entity Types: AI_Governance_Actor, AI_Deployer, Affected_Stakeholder
  • Entities: Department of Health; health care providers; insurers; language service providers; Healthcare Association of Hawaii; LEP individuals
  • Summary: The resolution targets the Department of Health to convene the working group, and the study will assess healthcare providers, insurers, and language service providers who serve LEP populations.

Enforcer

  • Summary: No enforcement mechanisms or enforcement bodies are specified in this resolution. It is a request without binding legal obligations.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Legislature; Department of Health
  • Summary: The Legislature will receive and review the report from the Department of Health, serving as the monitoring body for the working group's findings and recommendations.

AI Lifecycle Stages

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

  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document does not directly govern AI development or deployment lifecycle stages. It requests a study to assess the benefits and impacts of AI technologies in language assistance services, which implies consideration of deployment and operational monitoring of AI in healthcare settings.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document makes only a brief, general reference to artificial intelligence as one type of technology that may impact language assistance services in healthcare. No specific AI technical categories, models, systems, or compute thresholds are mentioned or defined.

https://www.capitol.hawaii.gov/session/archives/measure_indiv_Archives.aspx?billtype=HCR&billnumber=71&year=2024
https://agora.eto.tech/instrument/2189
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