概述
A 2025 law amended the disclosure framework effective May 7, 2025 and extended the chapter’s sunset to July 1, 2027. The current statutory text should guide any compliance decision.
深入探討
Utah enacted SB 149 in 2024 as the Artificial Intelligence Policy Act, effective May 1, 2024. The initial law used disclosure duties for regulated occupations and consumer transactions and created the Office of Artificial Intelligence Policy and an AI learning laboratory. In 2025, SB 226, the Artificial Intelligence Consumer Protection Amendments, substantially revised the disclosure scheme. Its relevant provisions took effect May 7, 2025. As amended, the prior Chapter 72 is scheduled for repeal July 1, 2027. Older summaries of the original SB 149 rules can therefore misstate today’s duties. The current framework distinguishes regulated occupations from other consumer-facing uses. A person in a regulated occupation must disclose use of generative AI in a high-risk interaction, including specified interactions involving sensitive personal information or personalized recommendations, advice, or information that could reasonably be relied on for significant personal decisions. For other consumer transactions, disclosure is required when the consumer clearly and unambiguously asks whether they are interacting with generative AI. The statute includes rules about when and how the disclosure appears and a safe harbor tied to disclosure by the AI system itself. The exact terms, definitions, and exceptions matter. A business cannot avoid consumer-protection responsibility by blaming generative AI. The Division of Consumer Protection enforces the law and may impose statutory penalties. Separately, Utah’s Office of AI Policy operates the learning laboratory, which can provide a structured route for studying AI policy and negotiating regulatory mitigation agreements for participants under stated conditions. The program does not exempt participants from every law. Utah’s model is narrower than a broad risk-management statute. It uses disclosure and existing consumer-protection mechanisms, while the learning laboratory supports experimentation. Product teams should check current Utah Code Chapter 75, the amended definitions, the regulated-professional status, interaction risk, disclosure placement, and any applicable consumer-protection duties. Since the 2025 law sets a sunset date for Chapter 72, future renewal or replacement legislation could change the framework again.
戰略影響
風險與安全
災難性和日常的人工智慧危害都取決於誰了解風險以及誰能夠採取行動。
更明確的決策
民眾和專業素養決定強而有力的安全政策在政治上是否可行。
突破炒作
清晰的解釋可以減少炒作、實驗室公關和模糊道德劇場的影響。
The Future of Utah Artificial Intelligence Policy Act
Utah’s disclosure framework is active under the 2025 amendments, while the chapter’s scheduled sunset makes legislative updates especially relevant. Agency materials and enforcement may clarify edge cases, and lawmakers may extend or replace the provisions. Recheck the Utah Code and official legislative history before relying on older SB 149 summaries or designing a long-term compliance control. Assign an owner to monitor Utah legislative sessions and agency notices. Revalidate controls before the scheduled sunset. Keep a copy of the current code.
現實世界的實施
A Utah licensed professional identifies whether a generative-AI interaction collects sensitive information or provides personalized advice that makes it high risk under the amended law.
A retailer configures a clear response when a consumer directly and unambiguously asks whether the service is generative AI.
A product team uses a system-level notice so disclosure does not depend on the model spontaneously mentioning itself.
A startup asks the Office of AI Policy about the learning laboratory’s current application, safeguards, and mitigation-agreement conditions before joining.
風險與防護欄
將存在風險視為科幻小說，同時能力複合。
混淆了表面產品安全與高度自治下的對準。
只給非英語和非專業觀眾留下低品質的資源。
實施路線圖
單獨的產品危害、誤用和失控/失調風險。
詢問哪些證據會改變您對時間表和嚴重性的看法。
比起行銷主張，更喜歡主要來源和具體評估。
確定一條行動路徑：職業、政策、資金或技能——而不僅僅是意識。
不斷探索
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常見問題
What is Utah Artificial Intelligence Policy Act?
Utah’s 2024 Artificial Intelligence Policy Act created disclosure duties for generative AI in specified regulated-professional and consumer contexts, alongside an Office of AI Policy and learning laboratory. A 2025 law amended the disclosure framework effective May 7, 2025 and extended the chapter’s sunset to July 1, 2027. The current statutory text should guide any compliance decision.
When did the relevant SB 226 amendments take effect?
The enrolled SB 226 identifies May 7, 2025 as the effective date for the amendments.
After the 2025 amendments, which interaction can trigger proactive disclosure by a regulated professional?
The amended law focuses proactive disclosure duties for regulated occupations on high-risk interactions defined in statute.
For other consumer transactions, what can trigger the disclosure duty?
The amended law requires disclosure in other consumer transactions when a consumer clearly and unambiguously asks.
Can a Utah business avoid a consumer-protection violation by blaming the AI output?
Utah law does not let a business avoid consumer-protection responsibility merely because AI generated the statement or action.
Which purpose does Utah’s learning laboratory serve?
The Office of AI Policy and learning laboratory support policy study and conditional mitigation arrangements.
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