AI Regulations & Laws

The White House published a National Policy Framework for Artificial Intelligence outlining seven guiding principles for federal AI legislation. The framework calls for protecting children online, safeguarding communities, respecting intellectual property, preventing censorship, enabling innovation, developing an AI-ready workforce, and establishing federal standards that would pre-empt state-level AI laws.

South Korea's AI Basic Act, introduced in January 2025, enters broader enforcement with mandatory requirements for high-risk AI systems. The law establishes national AI governance standards and transparency obligations for major AI providers.

New York Governor Kathy Hochul signs the RAISE Act (Responsible Artificial Intelligence Systems Evaluation Act), making New York the second US state to enact comprehensive frontier AI regulation. The law requires AI developers working on frontier models to implement safety protocols and conduct impact assessments, with mandatory 72-hour incident reporting to the state.

An executive order establishes a federal AI policy framework and creates the AI Litigation Task Force within the Department of Justice. The order asserts federal preemption over state-level AI regulations and directs the task force to challenge state laws deemed to conflict with federal policy.

South Korea's legislature approves the AI Basic Act, establishing comprehensive framework for AI development and deployment. The law addresses transparency, safety, and fairness in AI systems while promoting innovation.

Brazil's AI regulation bill, focusing on transparency, accountability, and risk-based governance, advances through Congress. The proposed law includes requirements for disclosure of AI-generated content and liability frameworks for AI systems.

Multiple US states including Colorado, California, and others advance AI-related legislation covering transparency, algorithmic auditing, and consumer protection. A patchwork of state-level regulations emerges.

The European Parliament formally adopts the AI Act following extensive negotiation and compromise. The law establishes a risk-based approach to AI regulation, with prohibited categories, high-risk systems, and transparency requirements.

China's regulations on generative AI services become effective, requiring content security assessments, algorithm transparency, and state security reviews. AI systems must comply with national content standards and cannot generate prohibited content.

India's government initially signals a preference for AI innovation over heavy regulation, resisting calls for immediate comprehensive legislation. This reflects India's focus on AI as an economic growth driver.

The National Institute of Standards and Technology (NIST) releases the AI Risk Management Framework, a voluntary guideline for managing AI risks across development, deployment, and monitoring. The framework provides practical standards without legal mandates.

China's regulations on deepfake and synthetic media (deep synthesis) become law, requiring content labels and provider registration. The rules target deepfakes, generated audio, and other synthetic media that could spread false information.

Canada's government introduces the Artificial Intelligence and Data Act (AIDA), proposed legislation establishing a risk-based framework for AI governance. The law would require impact assessments and transparency for high-risk AI systems.