AI Governance Resources

Voluntary framework from the U.S. National Institute of Standards and Technology for managing risks in AI systems. Organized into four functions (Govern, Map, Measure, Manage) with adaptable profiles for different sectors and organizational contexts.

First international management system standard for Artificial Intelligence. Establishes requirements for implementing, maintaining and continuously improving an AI Management System (AIMS) within organizations. Certifiable and auditable.

Risk-based classification system from the European AI legislation. Categorizes applications into four levels (unacceptable, high, limited, minimal) with obligations proportional to risk. Global reference for AI regulatory approach.

Practical governance framework from Singapore focused on organizational implementation. Covers internal governance, risk management, operations and stakeholder relations. Includes implementation guide with examples from the financial and healthcare sectors.

Adopted by 40+ countries, they define five fundamental principles: inclusive growth, human-centered values, transparency, robustness and safety, and accountability. Foundation for AI public policies worldwide.

Comprehensive repository of OECD publications on AI policy, including cross-country comparative analyses, governance metrics and reports on the economic and social impacts of AI.

The first global normative instrument on AI ethics, adopted by 193 countries in 2021. Establishes values (human dignity, well-being, diversity), principles and policy action areas. Brazil is a signatory.

WEF report series on AI governance, focusing on generative AI, frameworks for companies and executives, and multi-stakeholder governance models. Contributions from over 200 global organizations.

Annual report from Stanford's Human-Centered AI Institute with comprehensive data on the state of AI: research, investment, adoption, public policies and public perception. Essential reference for global trends.

Practical guide from the French data protection authority on developing AI systems in compliance with the GDPR. Covers training data collection, legal bases, data subject rights and impact assessments.

OECD platform that monitors AI policies in over 60 countries. Offers a database of government initiatives, comparative metrics and regulatory trend analyses. Essential resource for international benchmarking.

Multi-stakeholder organization with over 100 members (companies, academia, civil society) dedicated to the responsible use of AI. Publishes research, develops practical frameworks and promotes cross-sector dialogue on AI challenges.

New York University research institute focused on the social impacts of AI. Known for its critical annual reports on bias, surveillance, power concentration and labor rights in the AI era.

Independent research institute based in the UK, focused on ensuring data and AI work for people and society. Produces research on public participation, algorithmic fairness and data governance.

Organization dedicated to reducing existential and catastrophic risks from advanced technologies, with a focus on AI. Responsible for the open letter on pausing advanced model training (2023) and grant programs for AI safety research.