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Illinois Artificial Intelligence Video Interview Act
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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.
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.
Những tác hại thảm khốc và thường ngày của AI đều phụ thuộc vào việc ai hiểu được rủi ro và ai có thể hành động.
Kiến thức công cộng và chuyên môn định hình liệu chính sách an toàn mạnh mẽ có khả thi về mặt chính trị hay không.
Những lời giải thích rõ ràng làm giảm sự thu hút bởi sự cường điệu, PR trong phòng thí nghiệm và sân khấu đạo đức mơ hồ.
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.
Xử lý rủi ro hiện hữu như khoa học viễn tưởng trong khi khả năng lại phức tạp.
Nhầm lẫn giữa an toàn sản phẩm bề mặt với sự liên kết dưới quyền tự chủ cao.
Chỉ để lại những khán giả không phải người Anh và không có chuyên môn với những nguồn chất lượng thấp.
Tách biệt các tác hại của sản phẩm, sử dụng sai và rủi ro mất kiểm soát/sai lệch.
Hỏi bằng chứng nào sẽ thay đổi quan điểm của bạn về thời gian và mức độ nghiêm trọng.
Ưu tiên các nguồn chính và đánh giá cụ thể hơn các tuyên bố tiếp thị.
Xác định một lộ trình hành động: sự nghiệp, chính sách, nguồn tài trợ hoặc kỹ năng - không chỉ là nhận thức.
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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.
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Illinois Artificial Intelligence Video Interview Act
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