AI Regulation Tracker

Every major AI regulation worldwide. Updated monthly. Free and open.

Last updated: April 2026

40+
Regulations Tracked
20+
Countries & Regions
15+
Active Now

Europe

The world's most comprehensive AI regulation framework

EU AI Act
🇪🇺 European Union
Upcoming
Full enforcement: August 2, 2026
Key Requirements
  • Risk classification for AI systems (prohibited, high-risk, limited risk, minimal risk)
  • Conformity assessments and quality management systems for high-risk AI
  • Article 12: Detailed logging and documentation of all AI decisions
Applies to: All organizations deploying AI systems in EU or to EU citizens. Fines up to €30M or 6% of annual revenue.
Official text →
GDPR Article 22
🇪🇺 European Union
Active
Effective: May 25, 2018
Key Requirements
  • Right to explanation for automated decision-making
  • Explicit consent required before automated processing
  • Right to human review and contestation of decisions
Applies to: Any automated decision-making on personal data of EU residents. Overlaps with AI Act for AI systems.
Official text →
eIDAS Regulation
🇪🇺 European Union
Active
Effective: July 1, 2016 (revised: 2022)
Key Requirements
  • Qualified electronic signatures and timestamps for legal evidence
  • Trusted services for authentication and validation
  • Standards for interoperability of digital signatures across EU
Applies to: Digital transactions, evidence in legal proceedings, and audit trail integrity requirements.
Official text →
Digital Markets Act
🇪🇺 European Union
Active
Effective: November 1, 2022
Key Requirements
  • Gatekeepers must provide interoperability and data access rights
  • Transparency obligations for algorithmic decision-making
  • Fair terms for app stores and digital platforms
Applies to: Large digital platforms offering core platform services in EU (primarily Tech giants using AI for ranking/recommendations).
Official text →

United States

Federal and state-level AI regulations now in effect or proposed

NYC Local Law 144
🇺🇸 United States (New York)
Active
Effective: January 1, 2023
Key Requirements
  • Bias audits required before deploying employment decision tools
  • Transparent notice to job applicants about AI use
  • Documentation of impact on protected classes
Applies to: Employers using AI for hiring, promotions, or terminations in NYC.
Official text →
Colorado SB24-205
🇺🇸 United States (Colorado)
Active
Effective: January 1, 2025
Key Requirements
  • Disclosure of material benefits to providers when using AI
  • Consumer rights to opt-out of certain AI processing
  • Prohibition on AI that deceives consumers
Applies to: Businesses deploying AI that affects Colorado consumers.
Official text →
EEOC AI Guidance
🇺🇸 United States (Federal)
Active
Issued: April 2023
Key Requirements
  • Employers are liable for discriminatory AI hiring/promotion decisions
  • Validation studies required for high-impact AI systems
  • Documentation of testing across protected classes
Applies to: All employers nationwide using AI in hiring, termination, or compensation decisions.
Official text →
CFPB Fair Lending & AI
🇺🇸 United States (Federal)
Active
Effective: Ongoing enforcement
Key Requirements
  • Equal Credit Opportunity Act (ECOA) applies to AI lending decisions
  • Disparate impact liability for AI that disadvantages protected groups
  • Reasonable notice requirements for adverse decisions
Applies to: Lenders, creditors, and financial institutions using AI for credit/lending decisions.
Official guidance →
Illinois AIVA
🇺🇸 United States (Illinois)
Active
Effective: January 1, 2024
Key Requirements
  • Explicit informed consent before video interview analysis
  • Disclosure of how AI will analyze candidates
  • Right to access and correct interview data
Applies to: Employers and recruiters using AI to analyze video interview data in Illinois.
Official text →
Texas RAIGA
🇺🇸 United States (Texas)
Proposed
Status: Under consideration
Key Requirements (Proposed)
  • AI governance and risk management frameworks
  • Transparency in AI decision-making processes
  • Vendor accountability and independent audits
If enacted, applies to: Businesses deploying AI systems in Texas.
Texas Legislature →
FINRA AI Rules
🇺🇸 United States (Federal)
Active
Effective: Ongoing (updated 2024)
Key Requirements
  • Supervision and testing of AI used in communications
  • Recordkeeping for algorithmic trading and decision systems
  • Risk management for AI that affects retail customers
Applies to: FINRA-regulated brokerage firms and investment advisers.
FINRA Guidance →
SEC Proposed AI Rules
🇺🇸 United States (Federal)
Pending
Status: Proposed rulemaking
Key Requirements (Proposed)
  • Disclosure of material conflicts related to AI in investment recommendations
  • Testing and validation of AI-driven investment algorithms
  • Governance framework for AI use in securities
If adopted, applies to: Investment advisers, broker-dealers, and securities firms.
SEC Proposals →
Executive Order 14110
🇺🇸 United States (Federal)
Active
Signed: October 30, 2023
Key Requirements
  • Federal agencies establish AI safety and governance standards
  • Risk assessments required for high-impact AI systems
  • Incident reporting and audit trail requirements
Applies to: Federal contractors and agencies using AI; sets standards influencing private sector.
Official text →
California SB-1047
🇺🇸 United States (California)
Proposed
Status: Vetoed (September 2024)
Would Have Required
  • Testing and red-teaming of large AI models before deployment
  • Incident reporting for AI model failures
  • Risk mitigation and transparency for high-impact systems
Status: Vetoed by Governor but signals direction of AI regulation in California.
Bill tracking →

Asia-Pacific

Emerging AI regulation frameworks across the region

China Generative AI Measures
🇨🇳 China
Active
Effective: August 15, 2023
Key Requirements
  • Content control: GenAI services must comply with Chinese values and ideology
  • Algorithm recommendation transparency and control
  • Data localization requirements for training data
Applies to: Any generative AI service available to Chinese users or trained on Chinese data.
CAC Official →
Singapore AIGS
🇸🇬 Singapore
Active
Published: 2020 (updated 2023)
Key Requirements
  • Voluntary governance framework based on four pillars: transparency, fairness, accountability, and auditability
  • Risk-based approach to AI governance
  • Sector-specific guidelines (finance, healthcare, government)
Applies to: Organizations deploying AI in Singapore; currently voluntary but increasingly adopted.
PDPC Guidelines →
South Korea AI Basic Act
🇰🇷 South Korea
Proposed
Status: Under consideration
Key Requirements (Proposed)
  • AI technology governance and innovation support
  • Risk assessment and management framework
  • Transparency and fairness principles for AI systems
Status: Framework law to establish comprehensive AI governance in South Korea.
Korea Official →
Japan AI Guidelines
🇯🇵 Japan
Active
Published: 2019
Key Requirements
  • Voluntary principles for trustworthy AI (transparency, fairness, accountability)
  • Human-centered design approach
  • Sector-specific guidelines for healthcare, finance, and public services
Applies to: Organizations deploying AI in Japan; currently voluntary framework with enforcement emerging.
METI Guidelines →
Australia AI Ethics Framework
🇦🇺 Australia
Active
Published: 2021 (proposed binding legislation under development)
Key Requirements
  • Voluntary AI Ethics Principles (fairness, transparency, accountability, privacy, safety)
  • Obligation to assess AI risks and mitigate harms
  • Government and finance sector focus with mandatory adoption emerging
Applies to: Public sector agencies and increasingly private sector organizations.
DISER Framework →

Global Frameworks & Standards

International standards and best practices

NIST AI RMF
🌍 Global Standard
Active
Published: January 2023
Key Requirements
  • GOVERN: Establish AI governance and accountability structures
  • MAP: Map AI systems and identify risks
  • MEASURE: Test and evaluate AI performance and impact
  • MANAGE: Implement risk mitigation strategies
Applies to: Organizations worldwide seeking risk management best practices. Referenced by many regulations.
NIST Tool →
ISO/IEC 42001
🌍 Global Standard
Active
Published: November 2023
Key Requirements
  • AI management system requirements (planning, implementation, monitoring)
  • Risk assessment and mitigation processes
  • Documentation and audit trail requirements
Applies to: Organizations seeking ISO certification for AI systems. Increasingly required by enterprise clients.
ISO Details →
OECD AI Principles
🌍 Global Standard
Active
Adopted: May 2019
Key Requirements
  • AI Principles: Inclusive growth, human-centered values, transparency, fairness
  • Accountability for AI systems and outcomes
  • Robust governance of AI development
Applies to: Endorsed by 42+ OECD member countries; sets international baseline for AI policy.
OECD AI →
UNESCO AI Ethics Recommendation
🌍 Global Standard
Active
Adopted: November 2021
Key Requirements
  • Ethical AI framework addressing human rights, democracy, inclusion
  • Environmental sustainability considerations for AI
  • International cooperation and monitoring mechanisms
Applies to: UNESCO member states; moral and ethical framework for AI governance globally.
UNESCO Page →

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