Filter by region, status, or type to find what applies to your organisation. Detailed analysis, readiness checklists, and effective dates for every regulation.
The world's first comprehensive AI law, establishing a risk-based framework for AI systems across the EU single market.
ISO/IEC 42001:2023 is the international standard for an AI management system (AIMS). It requires organisations to define the context and scope of their AI activities, establish accountable governance, assess AI risks and impacts, operate documented controls, and continually measure and improve the system.
A voluntary framework by the US National Institute of Standards and Technology for managing risks across the AI system lifecycle.
The EU's landmark data protection law contains critical provisions for AI systems that process personal data, including automated decision-making rules.
The UK's pro-innovation approach to AI governance, distributing responsibility across existing sector regulators with cross-cutting principles.
Australia's voluntary AI ethics principles and governance framework, with mandatory guardrails under development for high-risk AI systems.
Canada's proposed federal AI legislation, part of Bill C-27, establishing requirements for high-impact AI systems.
A sweeping executive order establishing AI safety standards, reporting requirements, and agency guidance across the US federal government.
The first comprehensive US state-level AI law, requiring impact assessments and transparency for high-risk AI systems that make consequential decisions.
Emerging SEC requirements for public companies to disclose material AI risks, AI governance practices, and AI-related impacts in securities filings.
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