Selected AI governance resources.

The definitive US government framework for managing risks to individuals, organizations, and society associated with AI. Core reading for any enterprise governance program.

NIST

The world's first comprehensive AI regulation, establishing risk-based requirements for AI systems deployed in EU markets. Essential for organizations with EU operations.

European Parliament

The international standard for AI management systems, providing requirements and guidance for organizations developing or using AI responsibly.

ISO/IEC

The first intergovernmental standard on AI, promoting AI that is innovative, trustworthy, and respects human rights and democratic values.

OECD

The UK government's approach to AI regulation, outlining principles-based governance for existing regulators and sector-specific guidance.

UK Government

Annual survey tracking enterprise AI adoption, organizational capabilities, and the business impact of AI — including governance and risk management practices.

McKinsey & Company

Gartner's annual assessment of AI governance technologies and practices, tracking maturity and adoption across the enterprise governance landscape.

Gartner

Comprehensive annual measurement of AI research, development, policy, adoption, and societal impact — essential for understanding the broader landscape.

Stanford HAI

Research on how enterprises are operationalizing responsible AI — including governance structures, tools, and organizational capabilities.

IBM

Practical guidance for implementing the AI RMF, including suggested actions, references, and cross-references to other frameworks.

NIST

Microsoft's internal responsible AI standard — publicly released and widely adapted as a practical template for enterprise AI governance policy.

Microsoft

A practical compliance checklist and risk classification guide for organizations assessing their EU AI Act obligations.

Future of Life Institute

A searchable database of AI-related incidents — invaluable for risk scenario planning, governance policy design, and board education.

AIID

A comprehensive, open-source AI governance framework designed specifically for the financial services industry.

FINOS

Open-source governance artifacts, templates, and working group outputs from the FINOS AI Governance Framework project.

FINOS / GitHub

Working group resources focused on responsible AI adoption in financial services, including governance frameworks and regulatory mapping.

FINOS

Ajay Agrawal, Joshua Gans, and Avi Goldfarb on how AI shifts decision-making power across organizations and industries. Essential reading for governance leaders thinking about organizational impact.

Harvard Business Review Press

Kate Crawford's critical examination of the political economy of AI — labor, data, infrastructure, and power. Important context for governance practitioners.

Yale University Press

Brian Christian's deeply reported account of the technical and human challenges of building AI systems that behave as intended. Accessible and authoritative.

W. W. Norton

Weekly interviews with leading AI researchers, practitioners, and policy makers. Consistently high signal-to-noise ratio for governance and policy topics.

Eye on AI

The New York Times' weekly technology podcast. Strong on AI policy, industry dynamics, and the societal implications of frontier AI development.

The New York Times