Defines "image" to include AI-modified depictions, criminalizing sexual extortion involving such images. Criminalizes creating or modifying visual depictions of minors using AI under sexual exploitation offenses. Clarifies disclosure offenses involving AI-altered private images, making violations a felony or misdemeanor.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document primarily addresses risks related to malicious actors (4.1, 4.3) through criminalization of AI-enabled sexual extortion, fraud, and creation of exploitative imagery. It has good coverage of privacy compromise (2.1) through regulation of AI-modified private images, and addresses toxic content (1.2) by criminalizing AI-generated child sexual abuse material. The document focuses on preventing specific harms rather than broader AI governance or systemic risks.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs the Information sector through regulation of online service providers and digital content platforms. It also has minimal coverage of Public Administration through law enforcement and judicial processes, and Educational Services through provisions regarding sex offenders on school premises.
Hard Law
Legislative Status Summary
This is a binding state statute enacted by the North Carolina General Assembly with criminal penalties including felony and misdemeanor classifications, mandatory enforcement through the criminal justice system, and specific penalty provisions for violations.
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Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document does not focus on AI development lifecycle stages but rather on the criminal use and distribution of AI-generated or AI-modified content. It addresses the deployment and use of AI capabilities to create exploitative imagery, but does not cover planning, design, data collection, model building, or validation stages of AI systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and algorithms used to create, adapt, or modify visual depictions. It does not distinguish between different types of AI (frontier, general purpose, task-specific, foundation models, etc.) or specify compute thresholds. The focus is on the output and use of AI-generated or AI-modified content rather than the technical characteristics of the AI systems themselves.
Document data from AGORA, CSET Emerging Technology Observatory.