Mississippi Senate Bill 3000

• Authority: Mississippi
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2023-04-19

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document is a budget appropriation bill that allocates funding to educational institutions. It does not address AI risks, harms, or governance measures. The mention of 'Data Science and Artificial Intelligence' refers only to funding allocation for academic programs/infrastructure, not to AI risk mitigation or governance.

Sector coverage

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

• Educational Services

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

• Scientific Research & Development Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Educational Services sector by allocating state funds to public universities in Mississippi. It does not regulate AI use within sectors but rather provides funding for educational programs and infrastructure, including some AI-related academic initiatives.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative appropriation bill from the Mississippi Senate that legally authorizes and allocates specific state funds to educational institutions with mandatory compliance requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Mississippi Senate; Mississippi State Legislature
• Summary: The document is Mississippi Senate Bill 3000, indicating it was proposed by the Mississippi Senate as part of the state legislative process.

Target

• Entity Types: Affected_Stakeholder
• Entities: Institutions of Higher Learning; Delta State University; University of Mississippi; Mississippi State University; Mississippi University for Women; Alcorn State University; Jackson State University; IHL research institutions
• Summary: The bill explicitly targets Mississippi's public institutions of higher learning, naming specific universities that will receive allocated funds for various purposes including AI and data science programs.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Mississippi State Legislature; Institutions of Higher Learning (administrative bodies)
• Summary: The Mississippi State Legislature has authority over appropriations and fiscal compliance. The document establishes binding expenditure limitations that would be enforced through state fiscal oversight mechanisms.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: While no specific monitoring body is explicitly named, state fiscal oversight mechanisms would implicitly monitor compliance with appropriation limits and purpose restrictions. The reference to unexpended balances as of June 30, 2023 implies fiscal monitoring and reporting requirements.

AI Lifecycle Stages

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

No lifecycle stages identified.

AI Lifecycle Summary

This document is a budget appropriation bill that allocates funding for educational programs and infrastructure. While it mentions 'Data Science and Artificial Intelligence' as a funding category, it does not govern or regulate any specific AI lifecycle stages. The document is purely financial/administrative in nature.

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 mentions 'Data Science and Artificial Intelligence' only as a category for funding allocation to the University of Mississippi. It does not define, regulate, or govern any specific AI technical concepts, models, systems, or capabilities. This is purely a financial appropriation document.