West Virginia HB 5690 (Artificial Intelligence Task Force)

Establishes the West Virginia Task Force on Artificial Intelligence to recommend AI definitions, policies, legislation, and best practices. Requires submission of a report by July 1, 2025, and terminates the Task Force upon report submission or on July 1, 2025.

  • Authority: West Virginia
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2024-06-02

Risk subdomain coverage

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

  • Compromise of privacy
  • AI system security vulnerabilities
  • Increased inequality and decline in employment
  • Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of specific AI risk domains. As a task force establishment bill, it creates a body to study and make recommendations about AI governance but does not itself address specific AI risks or harms. The document focuses on establishing governance structures rather than mitigating particular risk domains.

Sector coverage

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

  • Public Administration (excl. National Security)

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

  • Information
  • Educational Services
  • Health Care & Social Assistance
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs AI use within the public administration sector, specifically state government agencies. It also addresses AI use in educational services through school policy recommendations and healthcare through task force membership and assessment responsibilities.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act passed by the West Virginia Legislature that creates a mandatory task force with specific composition requirements, responsibilities, and deadlines. The document uses mandatory language throughout and has the force of law.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: West Virginia Legislature; House of Delegates; State Senate
  • Summary: The document is a legislative act enacted by the West Virginia Legislature, as evidenced by the certification from the Clerk of the House of Delegates and the Clerk of the Senate.

Target

  • Entity Types: AI_Governance_Actor
  • Entities: Office of the Governor; House of Delegates; State Senate; Office of Technology; State Superintendent of Schools; West Virginia Higher Education Policy Commission; Attorney General; Department of Administration; Department of Homeland Security; Secretary of Health; West Virginia Fusion Center
  • Summary: The legislation targets state government officials and agencies who are required to participate in the task force. It also indirectly targets the cybersecurity industry, AI industry, business associations, and healthcare systems through appointed representatives.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Governor of West Virginia; West Virginia Legislature
  • Summary: The Governor has enforcement authority through appointment powers and designation of the Chair. The Legislature has oversight through the requirement that the task force report to them.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: West Virginia Task Force on Artificial Intelligence; West Virginia Legislature; Governor of West Virginia
  • Summary: The Task Force itself will monitor AI use in state agencies and assess AI impacts. The Legislature and Governor will receive the task force's report and monitor its completion.

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
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages but rather establishes a governance body to study AI across multiple stages. It implicitly covers planning and design through policy development responsibilities, and operation and monitoring through inventory and assessment requirements.

Technical Scope

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

  • Generative AI

Technical Scope Summary

The document explicitly mentions 'artificial intelligence' and 'generative artificial intelligence' but does not provide technical definitions or specify particular types of AI systems, models, or compute thresholds. The scope is broad and general, focused on establishing governance rather than technical specifications.

https://www.wvlegislature.gov/bill_status/bills_text.cfm?billdoc=hb5690%20enr.htm&yr=2024&sesstype=RS&i=5690
https://agora.eto.tech/instrument/1459
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Document data from AGORA, CSET Emerging Technology Observatory.