Assigns ownership of AI-generated content to the input provider, unless infringing on existing intellectual property. Grants model training ownership to data providers, with conditions. Treats AI work done by employees under employer direction as employer-owned, adhering to specific criteria.
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
This document has minimal risk domain coverage, focusing primarily on intellectual property and ownership rights related to AI-generated content and model training. It does not substantively address AI safety risks, harms, or governance failures. The document is a property rights statute rather than a risk mitigation framework.
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
This statute applies broadly across all economic sectors where generative AI tools are used, as it establishes general property rights for AI-generated content and model training. It does not target specific industries but rather creates universal ownership rules applicable to any person or entity using generative AI in Arkansas.
Hard Law
Legislative Status Summary
This is a binding state statute enacted by the Arkansas General Assembly that establishes legal ownership rights for AI-generated content and model training, using mandatory language throughout.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily addresses the Build and Use Model stage by establishing ownership rights for model training. It also covers the Deploy stage through provisions on content generation and work-for-hire arrangements. The statute does not substantively address planning, data collection processes, verification, or operational monitoring.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions generative artificial intelligence tools and models multiple times. It does not reference frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds. The focus is narrowly on generative AI systems.
Document data from AGORA, CSET Emerging Technology Observatory.