Virginia Senate Bill 487

Requires JCOTS to analyze AI use by public bodies, focusing on procurement, implementation, and discrimination prevention. Assesses creating a Commission on AI to advise on related issues. Mandates report submission to legislative committees by December 1, 2024.

  • Authority: Virginia
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Enacted
  • Most recent activity date: 2024-04-08

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
  • Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of 2-3 subdomains, with focus on unfair discrimination (1.1), unequal performance across groups (1.3), and potentially governance failure (6.5). Coverage is concentrated in discrimination and fairness domains, with limited depth on specific risk mitigation measures.

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

The document primarily governs Public Administration (excluding National Security) as it focuses on AI use by public bodies in Virginia. The scope is limited to government agencies and does not extend to private sector industries.

Legislative Status

Soft Law

Legislative Status Summary

This is a legislative directive mandating a study and analysis by JCOTS, not creating binding legal obligations on AI use. It requires a report with recommendations but does not establish enforceable regulations.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Virginia General Assembly
  • Summary: The document is enacted by the General Assembly of Virginia, which is the legislative body proposing this bill to mandate a study on AI use by public bodies.

Target

  • Entity Types: AI_Governance_Actor, AI_Deployer
  • Entities: public bodies in the Commonwealth; Joint Commission on Technology and Science (JCOTS)
  • Summary: The document targets public bodies in Virginia that use AI systems, requiring analysis of their procurement and implementation. JCOTS is tasked with conducting the analysis.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: House Committees on Appropriations and Communications, Technology and Innovation; Senate Committees on Finance and Appropriations and General Laws and Technology
  • Summary: The legislative committees receiving the report will have oversight authority over any subsequent governance measures. However, no explicit enforcement mechanism is established in this study directive.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Joint Commission on Technology and Science (JCOTS); proposed Commission on Artificial Intelligence
  • Summary: JCOTS is tasked with analyzing AI use and assessing the creation of a Commission on AI that would advise on AI-related issues. The proposed commission would have monitoring and advisory functions.

AI Lifecycle Stages

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

  • Plan and Design
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document covers multiple lifecycle stages with emphasis on procurement (Plan and Design), implementation (Deploy), and ongoing assessment (Operate and Monitor). It addresses the full lifecycle of AI systems used by public bodies from acquisition through operational monitoring.

Technical Scope

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

  • AI Systems

Technical Scope Summary

The document uses the term 'artificial intelligence systems' without providing specific definitions or distinguishing between different types of AI. It does not mention models, frontier AI, general purpose AI, foundation models, or compute thresholds.

https://legacylis.virginia.gov/cgi-bin/legp604.exe?241+sum+SB487
https://agora.eto.tech/instrument/1454
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Document data from AGORA, CSET Emerging Technology Observatory.