Frameworks

AI governance frameworks, by jurisdiction.

Laws, regulator guidance, standards and voluntary frameworks that shape how organisations govern AI. Each page explains what the framework asks for, who it applies to and when.

Standards and frameworks that apply across borders. Most organisations use one of these as the backbone of their AI governance, whatever their jurisdiction.

StandardISO/IEC 42001ISO/IEC 42001:2023 AI management systemsISO/IEC 42001 is the certifiable international standard for an AI management system. What it requires, how Annex A works and how to get ready to certify.Published December 2023, current editionIn Aicura from ProStandardISO/IEC 42005ISO/IEC 42005:2025 AI system impact assessmentISO/IEC 42005 is international guidance on assessing how an AI system affects people and society, when to assess, what to record and how it links to 42001.Published May 2025, current editionVoluntary frameworkNIST AI RMFNIST AI Risk Management Framework (AI RMF 1.0)The NIST AI RMF is a voluntary framework for managing AI risk through four functions, Govern, Map, Measure and Manage. What it asks and who uses it worldwide.Version 1.0 current, revision under wayIn Aicura from ProVoluntary frameworkNIST Generative AI ProfileNIST AI RMF Generative AI Profile (NIST AI 600-1)NIST AI 600-1 applies the AI Risk Management Framework to generative AI. Its 12 risks, the suggested actions behind them and who uses the profile and why.Final, published July 2024StandardISO/IEC 23894ISO/IEC 23894:2023 Guidance on AI risk managementISO/IEC 23894 adapts the ISO 31000 risk process to AI. What the guidance covers, its AI risk sources and lifecycle mapping, and how it fits with ISO 42001.Published February 2023, current editionStandardISO/IEC 38507ISO/IEC 38507:2022 Governance implications of the use of AI by organizationsISO/IEC 38507 is guidance for boards on governing an organisation's use of AI. What it asks of directors, how it links to ISO/IEC 38500 and who uses it.Published April 2022, current editionVoluntary frameworkOECD AI PrinciplesOECD Recommendation of the Council on Artificial Intelligence (OECD AI Principles)The OECD AI Principles are the intergovernmental standard for trustworthy AI, adopted 2019 and revised 2024. The five principles and how to apply them.Adopted May 2019, revised May 2024Voluntary frameworkHUDERIAHUDERIA: Risk and impact assessment of AI systems for human rights, democracy and the rule of lawHUDERIA is the Council of Europe's method for assessing AI risks to human rights, democracy and the rule of law. Its four elements, scoring and who uses it.Methodology and Model adopted, non-bindingLawCouncil of Europe AI ConventionCouncil of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225)The Council of Europe AI Convention is the first binding international treaty on AI. Who has signed and ratified, what it asks of parties and when it applies.Open for signature, not yet in forceVoluntary frameworkG7 Hiroshima Code of ConductHiroshima Process International Code of Conduct for Organizations Developing Advanced AI SystemsThe G7 Hiroshima Code of Conduct sets 11 voluntary actions for advanced AI developers, with OECD HAIP reporting. What it asks and who reports under HAIP 2.0.Voluntary, reporting framework v2.0 liveVoluntary frameworkUNESCO AI Ethics RecommendationUNESCO Recommendation on the Ethics of Artificial IntelligenceUNESCO's Recommendation on the Ethics of AI is the global standard its member states adopted in 2021. Its values, principles and Ethical Impact Assessment.Adopted November 2021

The EU AI Act sets risk-based obligations for AI placed on the EU market or used in the EU, alongside the GDPR's rules on automated decisions.

The UK regulates AI through existing regulators applying shared principles, with specific rules for automated decisions under UK data protection law.

Ireland applies the EU AI Act through its own implementing law and sector regulators, with guidelines for AI use across the public service.

Germany applies the EU AI Act through the KI-MIG, with the Bundesnetzagentur as central authority and BaFin for financial firms, and adds national rules on credit and behaviour scoring.

The Netherlands is preparing a law naming existing supervisors for the EU AI Act, adds a GDPR rule on automated decisions, and guides public bodies through the Algoritmekader and Algoritmeregister.

Belgium applies the EU AI Act and the GDPR directly, with guidance on AI from its Data Protection Authority while the law naming its AI Act supervisors is prepared.

Luxembourg applies the EU AI Act directly, with a bill before Parliament that would make the CNPD the default authority and the CSSF and CAA supervisors for financial firms.

Switzerland governs AI through its technology-neutral data protection law and FINMA guidance for financial institutions, with targeted amendments planned to ratify the Council of Europe AI Convention.

Norway applies the GDPR through its Personal Data Act, with the EU AI Act to follow through the EEA Agreement and a national AI Act still before government.

The US has no comprehensive federal AI law. Obligations come from federal frameworks and policy, and from a growing set of state and city laws.

LawColorado ADMT law (SB 26-189)Colorado SB 26-189, Automated Decision-Making TechnologyColorado's SB 26-189 replaced the Colorado AI Act before it took effect. What developers and deployers of decision technology must do from 1 January 2027.Enacted 14 May 2026, duties apply from 1 January 2027In Aicura from EnterpriseLawCalifornia CCPA ADMT regulationsCCPA Regulations on Automated Decisionmaking Technology, Risk Assessments and Cybersecurity AuditsCalifornia's CCPA regulations on automated decisionmaking technology and risk assessments. Who they cover, what they require, and the 2027 and 2028 deadlines.In force since 1 January 2026, ADMT duties apply from 1 January 2027In Aicura from EnterpriseLawConnecticut AI in employment (PA 26-15)Connecticut Public Act 26-15, automated employment-related decision technologyConnecticut's Public Act 26-15 sets notice duties for AI used in hiring and other employment decisions from 1 October 2027. Who it covers and what it requires.In force since 1 October 2026, notice duties apply to technology deployed from 1 October 2027LawNYC Local Law 144NYC Local Law 144 of 2021, Automated Employment Decision ToolsNYC Local Law 144 requires a yearly independent bias audit and candidate notice before employers use automated employment decision tools. What it requires.In force, enforced since 5 July 2023In Aicura from EnterprisePublic sector policyExecutive Order 14365Executive Order 14365, Ensuring a National Policy Framework for Artificial IntelligenceExecutive Order 14365 directs US agencies to challenge state AI laws and seek a federal standard. What it does, what it does not do and what it means for you.In effect since 11 December 2025. It does not itself preempt any state lawLawTexas TRAIGATexas Responsible Artificial Intelligence Governance Act (HB 149)The Texas Responsible AI Governance Act has been in force since 1 January 2026. Its prohibited uses, disclosure duties, penalties and the NIST-linked defence.In force since 1 January 2026In Aicura from EnterpriseLawIllinois AI in employment lawIllinois Human Rights Act amendments on AI in employment (HB 3773, Public Act 103-0804)Illinois HB 3773 makes discriminatory AI use and missing AI notice civil rights violations for employers. What it requires, who it covers and the rule status.In force since 1 January 2026, notice rules not yet adoptedIn Aicura from EnterpriseLawCalifornia ADS employment regulationsCalifornia Civil Rights Council Employment Regulations Regarding Automated-Decision SystemsCalifornia's Civil Rights Council regulations apply anti-discrimination law to automated-decision systems at work. Scope, agent liability, records, testing.In force since 1 October 2025In Aicura from EnterprisePublic sector policyOMB M-25-21OMB Memorandum M-25-21, Accelerating Federal Use of AI through Innovation, Governance, and Public TrustOMB M-25-21 sets how US federal agencies govern AI, with minimum practices for high-impact AI. What it requires, its deadlines and what it means for vendors.In effect since 3 April 2025LawUtah AI Policy ActUtah Artificial Intelligence Policy Act and AI consumer protection disclosuresUtah requires disclosure of generative AI in consumer dealings and regulated occupations. What SB 149 and SB 226 require, the penalties and the 2027 repeal.In force, AI Policy Act chapter set to repeal 1 July 2027In Aicura from EnterpriseLawCalifornia SB 53Transparency in Frontier Artificial Intelligence Act (California SB 53)California's SB 53 requires frontier AI developers to publish safety frameworks and transparency reports and to report critical safety incidents to Cal OES.In force since 1 January 2026In Aicura from EnterpriseLawUS state privacy laws on profilingUS state consumer privacy laws, profiling opt-outs and assessmentsMost US state privacy laws let consumers opt out of profiling for significant decisions and require assessments of risky profiling. How the model works now.In force in most states with a comprehensive privacy law, on staggered datesIn Aicura from EnterpriseRegulator guidanceNAIC AI Model BulletinNAIC Model Bulletin on the Use of Artificial Intelligence Systems by InsurersThe NAIC Model Bulletin sets regulators' expectations for insurers using AI, centred on a written AIS Program. What it asks for and how states adopt it.Adopted by the NAIC 4 December 2023, issued state by stateRegulator guidanceUS bank model risk guidance (SR 26-2)Supervisory Guidance on Model Risk Management (SR 26-2, replacing SR 11-7)SR 26-2 replaced SR 11-7 as US banking agencies' model risk guidance in April 2026. What it expects, who it targets and why generative and agentic AI are out.Issued 17 April 2026, superseding SR 11-7

Canada governs automated decisions in the federal public sector through a binding directive and impact assessment, with sector regulators setting expectations for industry.

LawPIPEDA and AIPIPEDA and the privacy commissioners' principles for generative AIHow PIPEDA and the privacy commissioners' generative AI principles apply to AI in Canada today, and what Bill C-36 would add for automated decision systems.PIPEDA in force. Commissioners' principles issued 7 December 2023. Bill C-36 at second readingPublic sector policyCanada Directive on Automated Decision-MakingDirective on Automated Decision-Making and the Algorithmic Impact AssessmentCanada's Directive on Automated Decision-Making binds federal institutions using automated decision systems, with a four-level Algorithmic Impact Assessment.In force, fourth-review amendments in effect since 24 June 2025Regulator guidanceOSFI Guideline E-23OSFI Guideline E-23, Model Risk Management (2027)OSFI Guideline E-23 sets model risk expectations for Canadian federally regulated financial institutions, including AI and ML models, from 1 May 2027.Final, effective 1 May 2027LawQuebec Law 25 automated decisionsQuebec private sector privacy act, section 12.1 on decisions based exclusively on automated processing (Law 25)Section 12.1 of Quebec's private sector privacy act, added by Law 25, requires notice of fully automated decisions, reasons on request and a chance of review.In force since 22 September 2023Voluntary frameworkCanada generative AI code of conductVoluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI SystemsCanada's voluntary code for advanced generative AI sets six principles with measures for developers and managers. What it asks of them and who has signed it.Voluntary, open for signature since September 2023Public sector policyOntario Responsible AI DirectiveOntario Responsible Use of Artificial Intelligence DirectiveOntario's Responsible Use of Artificial Intelligence Directive sets AI risk management, disclosure and reporting rules for ministries and provincial agencies.In effect since 1 December 2024LawOntario AI disclosure in job postingsOntario Employment Standards Act, AI disclosure in publicly advertised job postingsSince 1 January 2026, Ontario employers with 25 or more employees must state in public job postings when AI is used to screen, assess or select applicants.In force since 1 January 2026

Australia combines Privacy Act obligations on automated decisions with national guidance on AI adoption, government policy and state frameworks.

LawPrivacy Act ADM transparencyPrivacy Act automated decision-making transparency (APP 1.7 to 1.9)From 10 December 2026 your privacy policy must disclose automated decisions that significantly affect people. What APP 1.7 to 1.9 require and who is caught.Commences 10 December 2026. OAIC final guidance released 30 September 2026.In Aicura from PrivacyVoluntary frameworkAI6 Guidance for AI AdoptionGuidance for AI Adoption (AI6)The Guidance for AI Adoption sets six essential practices for governing AI in Australia. It replaced the Voluntary AI Safety Standard in October 2025.Published 21 October 2025. Current. Supersedes the Voluntary AI Safety Standard.In Aicura from EssentialsVoluntary frameworkAI Ethics PrinciplesAustralia's AI Ethics PrinciplesAustralia's eight voluntary AI Ethics Principles, published in 2019, are the baseline most Australian AI policy builds on. What they say and where they apply.Published 7 November 2019. Voluntary. Still published and referenced by national and state policy.In Aicura from EssentialsPublic sector policyDTA AI policyPolicy for the responsible use of AI in government (v2.0)Version 2.0 of the DTA policy for the responsible use of AI in government took effect on 15 December 2025. What Commonwealth agencies must do and by when.Version 2.0 effective 15 December 2025. Mandatory for non-corporate Commonwealth entities.In Aicura from EssentialsPublic sector policyNSW AIAFNSW AI Assessment Framework (AIAF)The NSW AI Assessment Framework is the mandatory AI risk self-assessment for NSW government agencies, run on the AIAF Platform since 30 September 2026.Mandatory for NSW government agencies under Circular DCS-2026-02. AIAF Platform mandatory from 30 September 2026.In Aicura from EssentialsRegulator guidanceAPRA AI expectationsAPRA letter to industry on artificial intelligenceAPRA's April 2026 letter sets minimum expectations for AI governance, security, suppliers and assurance at banks, insurers and super trustees. What it asks.Letter to all APRA-regulated entities, 30 April 2026. No new prudential standard. Existing standards apply.Regulator guidanceOAIC AI guidanceOAIC guidance on privacy and AIThe OAIC's two AI guides explain how the Privacy Act applies to using commercial AI products and to training generative AI models. What they expect of you.Published 21 October 2024. The commercial AI products guidance was updated on 17 January 2025.Public sector policyNational AI assurance frameworkNational framework for the assurance of artificial intelligence in governmentAgreed by all Australian governments in June 2024, the national framework sets five cornerstones for assuring government AI against the AI Ethics Principles.Agreed and released 21 June 2024 by the Data and Digital Ministers Meeting. Current.Public sector policyQueensland AI governance (FAIRA)Queensland AI governance policy and FAIRAQueensland's AI governance policy requires agencies to govern AI with regard to ISO 38507 and assess it with a FAIRA. Version 2.0.0 took effect August 2026.Policy v2.0.0, mandated, effective August 2026. FAIRA guideline v2.0.0, non-mandated guidance, effective August 2026.Public sector policyWA AI Assurance FrameworkWA Government AI Policy and AI Assurance FrameworkWA government entities must complete an AI Assurance Framework self-assessment for any AI or automated decision project. How it works and when it is reviewed.In force for WA government entities. Page first published 5 March 2024, last updated 25 August 2026.Public sector policyVictorian generative AI guidelineVictorian administrative guideline on the safe and responsible use of generative AIVictoria's administrative guideline sets minimum requirements for generative AI use across the Victorian Public Sector. What it asks of agencies and staff.Made 27 November 2024 by the Secretary, Department of Premier and Cabinet. Minimum requirements for in-scope organisations.

New Zealand relies on the Privacy Act and public sector commitments to govern algorithms and AI.

Public sector policyNZ Public Service AI FrameworkNew Zealand Public Service AI FrameworkNew Zealand's Public Service AI Framework sets five principles and six pillars for AI use across public service agencies. Agencies are encouraged, not bound.Published January 2025 (last updated 29 January 2025). Non-binding. Agencies are encouraged to align.Public sector policyNZ Algorithm CharterAlgorithm Charter for Aotearoa New ZealandNew Zealand's Algorithm Charter sets six commitments for government agency algorithms that affect people, applied through a likelihood and impact risk matrix.Published July 2020. Voluntary commitment for government agencies, with current signatories listed by Stats NZ.LawNZ Biometric Processing Privacy CodeBiometric Processing Privacy Code 2025 (New Zealand)New Zealand's Biometric Processing Privacy Code 2025 sets 13 rules for facial recognition and other biometric AI, with limits on inferring emotion and health.Issued 21 July 2025. In force 3 November 2025, and for processing that was already under way from 3 August 2026.Voluntary frameworkNZ Responsible AI Guidance for BusinessesResponsible AI Guidance for Businesses (New Zealand)MBIE's voluntary Responsible AI Guidance for Businesses, published in July 2025, sets out how New Zealand businesses can use and develop AI responsibly.Published July 2025. Voluntary.Regulator guidanceNZ Privacy Act and AINew Zealand Privacy Act 2020 and AIHow New Zealand's Privacy Act 2020 applies to AI. The Privacy Commissioner's expectations, the Information Privacy Principles, IPP3A and the Biometrics Code.AI guidance published 2023. IPP3A in force 1 May 2026. Biometric Processing Privacy Code fully in force 3 August 2026.

Singapore publishes voluntary model frameworks for AI, generative AI and agentic AI, with supervisory expectations for financial institutions from MAS.

Voluntary frameworkModel AI Governance FrameworkSingapore Model AI Governance FrameworkSingapore's voluntary Model AI Governance Framework from IMDA and the PDPC. Its four areas, the human involvement matrix, the ISAGO guide and who uses it.Voluntary. Second edition in use since January 2020.In Aicura from EnterpriseVoluntary frameworkAgentic AI frameworkSingapore Model AI Governance Framework for Agentic AIIMDA's Model AI Governance Framework for Agentic AI, version 1.5. Its four dimensions, agent identity and permissions, human checkpoints and agent monitoring.Voluntary guidance. Version 1.5 published 20 May 2026, updated 5 June 2026.Regulator guidanceMAS AI Risk Management GuidelinesMAS Guidelines on Artificial Intelligence Risk ManagementMAS's AI Risk Management Guidelines for financial institutions, issued 7 October 2026 and in effect from 7 October 2027. Inventory, risk ratings, controls.Issued 7 October 2026. Takes effect 7 October 2027, with lifecycle and capability expectations due by 7 October 2028.Voluntary frameworkGenerative AI frameworkSingapore Model AI Governance Framework for Generative AISingapore's Model AI Governance Framework for Generative AI, released May 2024 by IMDA and the AI Verify Foundation. Its nine dimensions and how it is used.Non-binding model framework. Released 30 May 2024.In Aicura from EnterpriseVoluntary frameworkAI VerifyAI Verify Testing Framework and ToolkitAI Verify is Singapore's AI governance testing framework and open-source toolkit. Its 11 principles, process checks and technical tests, and what it is not.Voluntary. Framework updated for generative AI on 29 May 2025.Regulator guidanceMAS FEAT PrinciplesMAS FEAT Principles for AI and Data AnalyticsMAS's FEAT Principles for AI and data analytics in Singapore finance. The 14 principles, the Veritas assessment methodology and the link to MAS AI guidelines.Published 12 November 2018. Continues to apply alongside the MAS AI Risk Management Guidelines.Regulator guidancePDPC AI advisory guidelinesPDPC Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision SystemsSingapore PDPC advisory guidelines on personal data in AI recommendation and decision systems. Consent, exceptions, notification, accountability, vendors.Issued 1 March 2024. Advisory and not legally binding. The PDPA itself applies.

Japan takes a soft-law approach, with a principles-based AI Promotion Act and detailed guidelines for businesses that develop, provide or use AI.

South Korea's AI Basic Act sets obligations for high-impact and generative AI, in force since January 2026.

India governs AI through voluntary national guidelines and its data protection law, with sector guidance from regulators.

Pakistan governs AI through a national AI policy approved in 2025, with a draft data governance policy that would set AI rules for federal public bodies and no data protection law yet in force.

Bangladesh governs AI through its Personal Data Protection Act 2026, which lets people withdraw consent to automated decisions, and a Cyber Security Act that names AI agents and tools, with a National AI Policy in draft.

Sri Lanka governs AI through its Personal Data Protection Act, whose processing and controller duties apply from 1 January 2027, with a right to review automated decisions to follow.

Hong Kong publishes an ethical AI framework for government and a generative AI guideline for developers, providers and users, with privacy guidance for organisations from the PCPD.

Regulator guidancePCPD AI Model FrameworkArtificial Intelligence: Model Personal Data Protection FrameworkHong Kong PCPD's AI Model Personal Data Protection Framework of June 2024. Guidance for organisations buying and using AI, with risk-based human oversight.Published 11 June 2024. Recommended best practice under the Personal Data (Privacy) Ordinance. Not itself binding.Public sector policyHong Kong GenAI Guideline and Ethical AI FrameworkHong Kong Generative AI Technical and Application Guideline and Ethical AI FrameworkThe Digital Policy Office's Generative AI Guideline and Ethical AI Framework for Hong Kong. Twelve principles, an AI impact assessment and practical guidance.Generative AI Guideline issued 15 April 2025, version 1.1 December 2025. Ethical AI Framework version 2.0 December 2025. Non-binding.Regulator guidanceHKMA ART guidanceHKMA Supervisory Guidance for Responsible Adoption of Artificial IntelligenceThe HKMA's October 2026 supervisory guidance on AI for Hong Kong banks. Nine principles across accountability, resilience and trust, and what each one asks.Issued 15 October 2026 to all authorized institutions. Supersedes the HKMA's High-level Principles on Artificial Intelligence of 1 November 2019.Regulator guidanceSFC generative AI circularSFC circular to licensed corporations on the use of generative AI language modelsThe SFC circular on generative AI language models for Hong Kong licensed corporations. Its four core principles, high-risk uses and SFC notification.Issued 12 November 2024 and in effect. Reinforced by the SFC's circular of 2 June 2026 on AI-enabled cyberattacks.

Malaysia applies its data protection law to automated decisions and profiling through the Commissioner's 2026 guidelines, alongside voluntary national AI principles, with a horizontal AI Governance Bill in preparation.

The Philippines governs AI through the Data Privacy Act and National Privacy Commission guidance, with a responsible AI framework for government agencies and voluntary AI principles for financial institutions from the BSP.

Papua New Guinea has no AI or data protection law in force yet. Its AI rules are being written into a draft data protection bill and a draft government framework for AI adoption.

Fiji has no AI law or general data protection statute. It relies on the constitutional right to privacy and Reserve Bank of Fiji rules, with a national AI framework promised under its digital strategy.

The UAE combines a national AI charter with data protection rules for autonomous systems in the Dubai International Financial Centre.

Israel governs AI through its Privacy Protection Law, overhauled by Amendment 13 in 2025, and a policy of sector-based, mostly soft regulation.

Saudi Arabia governs AI through its Personal Data Protection Law, which requires explicit consent and impact assessments for automated decisions, and national AI guidance from SDAIA, including its AI Ethics Principles.

Qatar governs AI through its data protection law, the PDPPL, and the Qatar Central Bank's AI Guideline for financial institutions, with a separate GDPR-style regime in the Qatar Financial Centre.

South Africa regulates automated decisions through its data protection law, POPIA.

Nigeria regulates automated decisions through the Nigeria Data Protection Act 2023, with conditions for deploying AI on personal data set by the Data Protection Commission's GAID 2025.

Kenya regulates automated decisions through the Data Protection Act 2019, with draft AI guidance from the Data Protection Commissioner and the Central Bank of Kenya, and an AI bill before the Senate.

Ghana regulates automated decisions through the Data Protection Act 2012, with a National AI Strategy launched in 2026 that plans a Responsible AI Authority.

China regulates specific AI uses through targeted administrative rules. Listed here as reference for organisations with Chinese operations or suppliers.

Brazil regulates automated decisions under its data protection law, with a comprehensive AI bill still before Congress.

Jamaica regulates automated decisions through its Data Protection Act 2020, in operation since December 2023, while national AI policy is developed.

Trinidad and Tobago's Data Protection Act is only partly in force, and a national AI assessment led by the Ministry of Public Administration and Artificial Intelligence is shaping AI policy.

Taiwan's AI Basic Act sets national principles, with a risk classification framework for government.

Vietnam's AI law sets risk tiers with notification duties, in force since March 2026.

Sweden applies the EU AI Act through five national authorities led by PTS, with rules for automated decisions by public authorities in the Administrative Procedure Act and national guidelines for generative AI in the public sector.

Denmark applies the EU AI Act through a national law naming its supervisors, with Datatilsynet guidance on AI in public authorities and Finanstilsynet expectations for financial firms.

Finland supervises the EU AI Act through existing authorities under its 2025 supervision act, with binding rules for automated decisions by public authorities and government guidance on generative AI.

Malta applies the EU AI Act through its own implementing regulations, with the Malta Digital Innovation Authority as lead authority, the data protection commissioner covering sensitive uses, and AI expectations for financial services from the MFSA.

Cyprus applies the EU AI Act through a centralised model led by the Commissioner of Communications, with the data protection Commissioner covering high-risk uses in law enforcement, migration and justice, CySEC guidance on AI risk under DORA, and a draft National AI Strategy 2032.

Questions

How are the AI governance frameworks on this page organised?

By jurisdiction first. Each framework is also labelled by its type (law, regulator guidance, standard, public sector policy or voluntary framework). The filters show one type at a time, and each jurisdiction has its own page listing every framework for it.

Which AI governance framework should an organisation start with?

Most organisations use an international standard or framework, such as ISO/IEC 42001 or the NIST AI RMF, as the backbone of their AI governance, whatever their jurisdiction. They then add the laws and guidance that apply where they operate.

Are these framework pages legal advice?

No. Each page explains the framework to support your governance work. Read the official source for the authoritative text.

Start with the AI you run.

Every framework begins with knowing which AI systems and agents you have. The AI register is free to start.