اگلااگلا گائیڈ
Illinois Artificial Intelligence Video Interview Act
معاشرہ
سوسائٹی گائیڈ
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.
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.
تباہ کن اور روزمرہ کے AI نقصانات دونوں کا انحصار اس بات پر ہے کہ کون خطرات کو سمجھتا ہے اور کون عمل کر سکتا ہے۔
عوامی اور پیشہ ورانہ خواندگی یہ تشکیل دیتی ہے کہ آیا مضبوط حفاظتی پالیسی سیاسی طور پر ممکن ہے۔
واضح وضاحتیں ہائپ، لیب پی آر، اور مبہم اخلاقیات تھیٹر کے ذریعے کیپچر کو کم کرتی ہیں۔
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.
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.
قابلیت کے مرکبات کے دوران وجودی خطرے کا سائنس فائی کے طور پر علاج کرنا۔
اعلی خود مختاری کے تحت سیدھ کے ساتھ سطح کی مصنوعات کی حفاظت کو الجھا دینا۔
غیر انگریزی اور غیر ماہر سامعین کو صرف کم معیار کے ذرائع کے ساتھ چھوڑنا۔
الگ الگ مصنوعات کے نقصانات، غلط استعمال، اور نقصان کے کنٹرول / غلط خطوط کے خطرات۔
پوچھیں کہ کون سے ثبوت ٹائم لائنز اور شدت کے بارے میں آپ کے نظریہ کو بدل دیں گے۔
مارکیٹنگ کے دعووں پر بنیادی ذرائع اور ٹھوس ایولز کو ترجیح دیں۔
ایک عمل کے راستے کی شناخت کریں: کیریئر، پالیسی، فنڈنگ، یا مہارتیں - نہ صرف آگاہی۔
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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.
The enrolled SB 226 identifies May 7, 2025 as the effective date for the amendments.
The amended law focuses proactive disclosure duties for regulated occupations on high-risk interactions defined in statute.
The amended law requires disclosure in other consumer transactions when a consumer clearly and unambiguously asks.
Utah law does not let a business avoid consumer-protection responsibility merely because AI generated the statement or action.
The Office of AI Policy and learning laboratory support policy study and conditional mitigation arrangements.
سیکھتے رہیں
اس موضوع کے لیے مزید گائیڈز چنے گئے ہیں۔
اگلااگلا گائیڈ
Illinois Artificial Intelligence Video Interview Act
معاشرہ