Utah Artificial Intelligence Policy Act vs California AI Transparency Act
Side-by-side comparison covering scope, obligations, penalties, and where they overlap.
| Attribute | Utah Artificial Intelligence Policy Act | California AI Transparency Act |
|---|---|---|
| Type | Utah Artificial Intelligence Policy ActState / Federal Law | California AI Transparency ActState / Federal Law |
| Authority | Utah Artificial Intelligence Policy Actutah (SB 149 (2024); amended by SB 226, HB 452, SB 332 (2025) and HB 320 (2026)) | California AI Transparency Actcalifornia (SB 942 (2024); amended by AB 853 (2025), SB 1000 and AB 2713 (2026)) |
| Effective date | Utah Artificial Intelligence Policy ActMay 7, 2025 | California AI Transparency ActAugust 2, 2026 |
| Max penalty | Utah Artificial Intelligence Policy Act$5K | California AI Transparency Act$5K |
| Applies to | Utah Artificial Intelligence Policy Actdeployer, vendor | California AI Transparency Actdeveloper, platform, device manufacturer |
Utah Artificial Intelligence Policy Act
The Utah Artificial Intelligence Policy Act (UAIPA), enacted as SB 149 in March 2024, now anchors three operative Utah AI compliance layers: **Chapter 77** for generative-AI consumer disclosures and enforcement, **Chapter 72** for the Office of Artificial Intelligence Policy and AI Learning Laboratory, and **Chapter 72a** for mental-health chatbot protections. The current private-sector disclosure…
California AI Transparency Act
**The California AI Transparency Act (SB 942, as amended by AB 853 and by SB 1000) has been operative since August 2, 2026. It requires covered providers — any person that creates, codes, or otherwise produces a generative AI system publicly accessible in California — to offer a free disclosure verification tool and to embed latent disclosures in AI-generated or AI-altered image, video, and audio …
Last reviewed October 12, 2026. Reviewed by the AI Compliance Atlas editorial process against primary sources. Source selection, retrieval dates, and update rules are documented in the Atlas methodology.
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