Utah (United States)
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Act / statute
In force
Binding
Utah Artificial Intelligence Policy Act (SB 149, 2024, as amended by SB 226 and SB 332 in 2025)
Effective 1 May 2024, the Act requires a person using generative AI to interact with a consumer in a consumer transaction to disclose clearly that the consumer is interacting with AI when asked (as amended in 2025, when the interaction is high-risk or on request), and requires providers of regulated occupations (for example health and legal services) to disclose generative-AI use proactively. It states that using AI is no defence to consumer-protection violations, created the Office of Artificial Intelligence Policy and an AI learning laboratory allowing regulatory mitigation agreements, and originally sunset in 2025, extended to 2027.
Applies from 1 May 2024
Source-linked · checked 11 Sep 2026
Official source
Singapore
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Framework
Voluntary standard
Model AI Governance Framework (Second Edition) and Model AI Governance Framework for Generative AI
Singapore's Model AI Governance Framework is a voluntary, sector-agnostic guide for organisations deploying AI. The second edition (January 2020) covers four areas: internal governance structures and measures, determining the level of human involvement in AI-augmented decision-making, operations management (data, model development, monitoring), and stakeholder interaction and communication. The May 2024 Model AI Governance Framework for Generative AI extends it with nine dimensions including accountability, data, trusted development and deployment, incident reporting, testing and assurance, security, content provenance, safety and alignment research, and AI for the public good.
Adopted 21 Jan 2020
Source-linked
Official source
Singapore
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Guidance
Guidance
PDPC Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems
These advisory guidelines explain how the Personal Data Protection Act applies when organisations use personal data to develop, test and deploy AI systems that make recommendations, predictions or decisions. They clarify the consent obligation and relevant exceptions (business improvement and research), what to include in notifications to individuals, accountability practices such as documenting data provenance and model development, and expectations for service providers building bespoke AI systems.
Adopted 1 Mar 2024
Source-linked
Official source
Hong Kong SAR
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Guidance
Guidance
Artificial Intelligence: Model Personal Data Protection Framework
Published 11 June 2024, the framework gives organisations that procure, implement and use AI systems involving personal data recommendations in four areas: AI strategy and governance (an AI governance committee, procurement due diligence), risk assessment and human oversight (a risk-based approach with levels of human involvement), customisation and implementation of AI models (data preparation, testing, security), and communication and engagement with stakeholders (transparency, explainability, opt-out, feedback). It builds on the 2021 Guidance on the Ethical Development and Use of AI.
Adopted 11 Jun 2024
Source-linked · checked 11 Sep 2026
Official source
European Union
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Regulation
Partially applicable
Binding
Regulation (EU) 2024/1689 — Artificial Intelligence Act
The EU AI Act is a binding regulation that sets rules for developing, placing on the market and using AI systems in the European Union. It bans a small set of practices considered unacceptable, imposes detailed requirements on "high-risk" AI systems used in areas such as employment, education, credit, essential services, law enforcement and safety-critical products, requires transparency for chatbots and synthetic content, and creates separate duties for providers of general-purpose AI models. Obligations apply in phases between 2025 and 2027.
Applies from 2 Aug 2026
Source-linked
Official source
ASEAN Guide on AI Governance and Ethics
Endorsed at the 4th ASEAN Digital Ministers' Meeting in February 2024, the guide sets seven guiding principles (transparency and explainability, fairness and equity, security and safety, human-centricity, privacy and data governance, accountability and integrity, robustness and reliability) and a four-part governance framework (internal governance structures, human involvement in decision-making, operations management, stakeholder interaction), with national and regional recommendations including an ASEAN working group on AI governance.
Adopted 2 Feb 2024
Source-linked · checked 11 Sep 2026
Official source
