AI Governance Guidelines: Regulator Guidance and Interpretations
Non-binding guidance from regulators and agencies that shapes how AI rules are applied in practice.
Australia Guidance for AI Adoption (AI6)
Australia's National AI Centre published the Guidance for AI Adoption on 21 October 2025. It sets six voluntary essential practices for organisations that develop or deploy AI, and replaces the 2024 Voluntary AI Safety Standard's ten guardrails. It builds on Australia's 2019 AI Ethics Principles.
Bletchley Declaration on AI Safety
At the inaugural AI Safety Summit, 28 governments signed this political declaration. They recognized risks from frontier (most advanced) AI and committed to international cooperation on safety, evaluation, and information sharing.
China AI Standardization White Paper (CESI, 2021 edition)
Chinese standards authorities issued this non-binding policy document to map AI standards work. It identifies priorities and outlines planned national and international standardization efforts.
Implementation Opinions on the Standardized Application and Innovative Development of Intelligent Agents
Three Chinese regulators released these Implementation Opinions on 8 May 2026, China's first policy framework dedicated to AI agents. The document is a policy framework rather than a binding regulation. It sets principles on user control and agent authority, with filing, compliance testing, and recall expected in sensitive sectors.
FATF AI Anti-Money Laundering Guidance
A 2021 Financial Action Task Force (FATF) report on new technologies, including AI, for fighting money laundering and terrorist financing. It sets out benefits, challenges, and suggested actions for governments, and is non-binding.
FDA AI/ML Software as Medical Device Guidance
FDA’s action plan and guidance address AI and machine learning (AI/ML) Software as a Medical Device. They introduce a total product lifecycle approach and predetermined change control plans. Self-updating clinical algorithms also face transparency and monitoring requirements.
Sound Practices for Responsible Adoption of Artificial Intelligence (Consultation Report)
The Financial Stability Board proposes 12 practices for responsible AI adoption throughout its lifecycle. They cover banks, insurers, and other regulated financial entities developing or deploying AI. Institutions should map them to governance, model risk, third-party oversight, and lifecycle controls.
Five Eyes Guidance on the Careful Adoption of Agentic AI Services
This joint Five Eyes advisory addresses enterprises and public bodies deploying autonomous AI agents. It covers agents taking independent actions, accessing systems, or interacting with other agents. The guidance calls for low-risk tasks, minimum necessary access, and integration into existing security governance.
G7 Hiroshima AI Code of Conduct
The G7 Hiroshima AI Process issued this voluntary international code of conduct. It sets eleven principles and corresponding actions for advanced AI developers and operators, particularly frontier (most capable) and general-purpose models. The code uses voluntary commitments to guide responsible development.
India AI Governance Guidelines (MeitY, 2025)
MeitY released the India AI Governance Guidelines on 5 November 2025 under the IndiaAI Mission. They are voluntary principles and recommendations that favour self-regulation over approvals or licensing. Binding labelling of AI-generated content comes separately from the 2026 amendments to India's IT Rules.
Japan AI Guidelines for Business
Japan's AI Guidelines for Business, issued jointly by MIC and METI, help companies govern AI across its life cycle. First published in April 2024, they are a living document, and version 1.2 of 31 March 2026 adds guidance on AI agents and physical AI.
Principles to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of Artificial Intelligence and Data Analytics in Singapore's Financial Sector
MAS FEAT is a voluntary framework for Singapore financial institutions using AI and data analytics. Its four principles are Fairness, Ethics, Accountability, and Transparency.
New Zealand Responsible AI Guidance for Business
New Zealand's MBIE released voluntary Responsible AI Guidance for Businesses on 8 July 2025, alongside the country's first AI Strategy. It helps businesses, including sole traders and non-profits, use and develop AI in a trustworthy way under existing New Zealand law.
NIST AI 300-1 (Initial Public Draft): Guidance and Templates for Public-Facing AI Documentation
NIST's initial public draft of AI 300-1 gives guidance and templates for public documentation of AI datasets and models. It is a 'Zero Draft' meant to feed voluntary consensus standards through ISO. NIST considered input received by 16 September 2026.
NIST IR 8587: Protecting Tokens and Assertions from Forgery, Theft, and Misuse
NIST IR 8587, finalized on 15 September 2026, gives federal agencies and cloud service providers recommendations to protect identity tokens, access tokens, and assertions from forgery, theft, and misuse. It builds on NIST SP 800-53 Release 5.1.1 and covers single sign-on, federation, and API access.
Interagency Revised Guidance on Model Risk Management (OCC Bulletin 2026-13, SR 26-2)
US bank regulators' April 2026 model risk guidance replaces SR 11-7 with a tailored, principles-based approach. It is most relevant to banks with over $30 billion in assets. Generative and agentic AI models are outside its scope.
OMB Memorandum M-26-04: Increasing Public Trust in AI Through Unbiased AI Principles
OMB Memorandum M-26-04, issued on 11 December 2025, implements Executive Order 14319. It requires federal agencies buying large language models to contract for two Unbiased AI Principles: truth-seeking and ideological neutrality. Vendors that fail to meet them can have contracts terminated.
SEC AI Governance Guidance
SEC rules, guidance, and proposals address investment advisers, broker-dealers, and public companies using AI. Topics include predictive-analytics conflicts, securities disclosures, and examination priorities for algorithmic systems.
The 2026 Singapore Consensus on Global AI Safety Research Priorities
The 2026 Singapore Consensus sets out global AI safety research priorities, including testing methods, alignment, and control of AI agents. More than 100 contributors from 13 countries produced it after an IMDA-convened exchange in May 2026, drawn from frontier AI developers, government safety institutes, academia, and civil society.
AI Risk Management Toolkit
The UK Government published this toolkit to help organizations understand, assess, and manage risk throughout the full lifecycle of AI projects. It applies to teams involved in designing, procuring, or delivering AI products and services, including public and private sector buyers. The toolkit provides structured guidance for embedding risk management into project approval checks, procurement checklists, and delivery-stage governance.
UNESCO Recommendation on the Ethics of Artificial Intelligence: 2026 Implementation Tools Update
UNESCO launched three tools under its 2021 Recommendation on the Ethics of AI in September 2026. It presented them at its fourth Global Forum on the Ethics of AI in Riyadh. They are for policymakers: an updated Readiness Assessment Methodology (RAM 2.0), an analysis of RAM findings, and an AI environment toolkit.