Mississippi SB 2426 (Artificial Intelligence Task Force; create and prescribe responsibilities of.)

• Authority: Mississippi
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2025-03-18

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
• Compromise of privacy
• AI system security vulnerabilities
• Economic and cultural devaluation of human effort
• Competitive dynamics
• Lack of capability or robustness
• 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 6-7 risk subdomains, primarily addressing governance framework development rather than specific AI risks. Coverage includes privacy (2.1), security (2.2), discrimination/bias (1.1), transparency (7.4), and touches on competitive dynamics (6.4) and human displacement (6.3). The document focuses on establishing a study body rather than implementing specific risk mitigations.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Information
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

The document establishes a task force that will study AI applications across multiple sectors but does not yet directly govern any specific sector. The task force composition includes expertise from education, healthcare, agriculture, entertainment, manufacturing, and private business sectors, indicating these are priority areas for future governance consideration.

Legislative Status

Soft Law

Legislative Status Summary

This document establishes a task force to study AI and make recommendations to the Legislature, but does not create binding legal obligations on AI developers or deployers. It is a preliminary governance mechanism focused on research and policy development rather than enforcement.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is legislative action by the Mississippi Legislature establishing a task force, with members appointed by legislative leaders and executive agency heads.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_Governance_Actor
• Summary: The task force will study AI applications across multiple sectors and develop regulatory recommendations that would apply to AI developers and deployers in Mississippi. The document mentions oversight for 'businesses and organizations to develop and test AI systems' and considering 'implementation and use of artificial intelligence in state government agencies.'

Enforcer

• Summary: The document establishes a task force to study and recommend, but does not establish enforcement mechanisms or designate enforcement authorities. Any enforcement would come from future legislation.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The task force is explicitly charged with studying, evaluating, and monitoring AI developments and policies, with annual reporting requirements.

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
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document references multiple AI lifecycle stages but primarily in the context of developing regulatory frameworks rather than directly governing AI system development. It mentions design, testing, deployment, and monitoring of both AI systems and regulations, with emphasis on creating oversight mechanisms across the full lifecycle.

Technical Scope

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

• AI Models
• AI Systems

Technical Scope Summary

The document explicitly defines artificial intelligence and references AI systems, tools, and technologies broadly. It does not specifically mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI technology generally without distinguishing between different AI paradigms or model types.