Mississippi Senate Bill 2577

• Authority: Mississippi
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-04-30

Risk subdomain coverage

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

• Pollution of information ecosystem
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation

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

• Compromise of privacy
• False or misleading information
• Governance failure
• AI possessing dangerous capabilities
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses risks related to malicious actors using AI-generated deepfakes for disinformation and electoral manipulation. It has good coverage of disinformation/surveillance (4.1), fraud/manipulation (4.3), and information pollution (3.2), with minimal coverage of privacy compromise (2.1) and governance failure (6.5). The focus is concentrated on preventing misuse of AI-generated content in electoral contexts.

Sector coverage

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

• Information
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This legislation primarily governs the Information sector (social media, electronic communications platforms) and Public Administration (electoral processes). It regulates how AI-generated content is disseminated through digital platforms in the context of elections.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding criminal statute enacted by the Mississippi Legislature with explicit criminal penalties, enforcement mechanisms, and mandatory compliance requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Mississippi Legislature; Mississippi State
• Summary: The document is enacted by the Legislature of the State of Mississippi, which is the proposing authority for this criminal statute.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Summary: The statute targets any person who disseminates AI-generated deepfakes or enters into contracts to disseminate them, which could include AI developers creating such content, deployers distributing it, and users sharing it. The law applies broadly to anyone engaging in the prohibited conduct.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Attorney General; district attorney; courts
• Summary: The statute explicitly designates the Attorney General, district attorneys, and courts as enforcement authorities with power to bring criminal prosecutions and civil injunctive relief actions.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Attorney General; district attorney; courts
• Summary: The same enforcement authorities (Attorney General, district attorneys, and courts) also serve monitoring functions by identifying violations and bringing actions against those reasonably believed to be about to violate or in the process of violating the statute.

AI Lifecycle Stages

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

• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document focuses primarily on the Deploy and Operate and Monitor stages of the AI lifecycle, as it regulates the dissemination and use of AI-generated deepfakes in electoral contexts. It does not address earlier stages like planning, data collection, or model development.

Technical Scope

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

• AI Models
• Generative AI

Technical Scope Summary

The document explicitly mentions AI-generated content (deepfakes) created through machine learning and artificial intelligence. It focuses on generative AI capabilities for creating synthetic images and audio. No specific compute thresholds, foundation models, or distinctions between general purpose and task-specific AI are mentioned.