AI Governance · Risk · Compliance
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Search across regulations, frameworks, and resources
Monitor AI laws, deadlines, and enforcement timelines across 40+ jurisdictions.
Compare NIST RMF, ISO 42001, EU AI Act, and more — side by side.
Curated frameworks, reports, guidelines, and tools — tagged and searchable.
Plain-language definitions for every term in AI governance and compliance.
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AI regulations and compliance deadlines across major jurisdictions.
| Regulation | Region | Status | Deadline | Summary |
|---|---|---|---|---|
| NIST AI Risk Management Framework (AI RMF 1.0) United States Federal | US | Voluntary | — | A voluntary framework from NIST to help organisations manage AI risks. Organises AI risk management around four core fun… |
| Singapore Model AI Governance Framework 2.0 Singapore | Asia-Pacific | Voluntary | — | A practical guide for organisations deploying AI responsibly in Singapore, covering human oversight, risk assessment, op… |
| OECD AI Principles International | Global | Voluntary | — | The first intergovernmental standard on AI adopted by OECD member countries in 2019 and updated in 2024. Establishes fiv… |
| UK AI Safety Institute Framework United Kingdom | UK | Active | — | Establishes the UK's AI Safety Institute (now AISI) as the world's first government body dedicated to advanced AI safety… |
| EU General Data Protection Regulation (GDPR) European Union | EU | Active | — | The primary EU data protection law governing the processing of personal data, with direct implications for AI systems th… |
| Illinois Artificial Intelligence Video Interview Act Illinois, United States | US | Active | — | Requires employers using AI to analyse video interviews to notify applicants, obtain consent, and explain how the AI wor… |
| UK Pro-Innovation Approach to AI Regulation United Kingdom | UK | Active | — | The UK government's principles-based, sector-led approach to AI regulation rather than a single overarching AI law. Dire… |
| Upcoming | — |
Curated picks
Frameworks, reports, guidelines, and tools — curated by practitioners, for practitioners. Searchable and tagged.
Browse all resources →Best practice guidance from Partnership on AI for developing AI systems responsibly in safety-critical contexts. Covers risk assessment, testing, monitoring, an…
A comprehensive framework from IEEE for aligning AI and autonomous systems with human values and ethical principles. Covers transparency, accountability, data a…
A knowledge base of adversarial machine learning tactics and techniques based on real-world observations. Modelled after the MITRE ATT&CK framework, covering at…
Multi-stakeholder resources on responsible AI development covering safety, fairness, accountability, and transparency. Includes case studies, best practice guid…
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