Selected AI governance resources.

NIST

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

European Parliament

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

ISO/IEC

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

OECD

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

UK Government

The UK's principles-based approach to AI governance, outlining responsibilities for existing regulators across sectors.

McKinsey & Company

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

Gartner

Annual assessment of AI governance technologies and practices, tracking maturity and adoption across the enterprise landscape.

Stanford HAI

Comprehensive annual measurement of AI research, development, policy, and societal impact. Essential context for governance practitioners.

IBM

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

NIST

Practical implementation guidance for the AI RMF — suggested actions, references, and cross-framework mappings for governance teams.

Microsoft

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

Future of Life Institute

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

AIID

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

FINOS

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

FINOS / GitHub

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

FINOS

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

Harvard Business Review Press

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

Yale University Press

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

W. W. Norton

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

Eye on AI

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

The New York Times

The New York Times' weekly technology podcast — strong on AI policy, industry dynamics, and frontier AI development.