Mississippi Senate Bill 2062

Establishes an AI in Education Task Force to evaluate AI applications in K-12, assess ethical and data privacy implications, and develop policy recommendations. Appoints twelve members and requires reports by December 15, 2024. Dissolves the task force on January 1, 2025.

  • Authority: Mississippi
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Defunct
  • Most recent activity date: 2025-03-29

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
  • Exposure to toxic content
  • Compromise of privacy
  • False or misleading information
  • Governance failure
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3-4 subdomains, with focus on privacy compromise (2.1), lack of transparency (7.4), and governance failure (6.5). Coverage is concentrated in data privacy, educational equity, and governance structure domains, with implicit references to discrimination and misinformation risks.

Sector coverage

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

  • Educational Services
  • Public Administration (excl. National Security)

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

  • Information
  • Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Educational Services sector, with secondary coverage of Public Administration. It establishes governance for AI use in K-12 education and involves state government agencies in oversight and policy development.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state legislative act that establishes a task force with mandatory requirements, specific timelines, and formal governmental authority.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is a legislative act enacted by the Mississippi Legislature, establishing the AI in Education Task Force.

Target

  • Entity Types: AI_Governance_Actor, AI_User, Affected_Stakeholder
  • Summary: The task force is directed to develop policy recommendations for K-12 education stakeholders, including local boards of education, educators, students, and parents. The document targets educational institutions and their use of AI.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The State Superintendent and Department of Education have administrative authority over the task force. The Governor, Lieutenant Governor, and Speaker receive reports and have appointment authority, suggesting oversight roles.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The Department of Education provides administrative support and will post the final report. Legislative education chairs and executive officers receive interim and final reports for monitoring progress.

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 AI lifecycle stages with primary focus on deployment and operation/monitoring in educational contexts. It covers planning through policy recommendations, deployment through procurement guidelines, and ongoing monitoring through evaluation criteria.

Technical Scope

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

  • AI Systems

Technical Scope Summary

The document explicitly mentions AI systems and AI technology in educational contexts. It refers to 'AI-powered software' and 'AI tools' but does not specify particular AI model types, compute thresholds, or distinguish between frontier, general purpose, or task-specific AI.

https://billstatus.ls.state.ms.us/documents/2024/html/SB/2001-2099/SB2062PS.htm
https://agora.eto.tech/instrument/2066
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Document data from AGORA, CSET Emerging Technology Observatory.