Law, privacy, security, and compliance in the age of artificial intelligence.
A 488-page operational textbook on AI governance, from the EU AI Act and the GDPR to NIST, ISO/IEC 42001, HIPAA, GLBA, and FERPA. Built around the AI Governance Stack, a five-layer implementation model developed across a decade of field work in regulated industries. Free to read and share.
Published in April, 2026, Governing Intelligence is already regarded as the most comprehensive AI governance framework in circulation, a reference text for the field rather than one voice within it.
It has been adopted by universities as course material, referenced by Fortune 500 companies to stand up internal governance programs, and used by government agencies as a framework for AI policy and procurement evaluation.
Messages have already arrived from members of the U.S. federal government, NATO, the United Nations, and teams at Anthropic and Meta, among others.
The central thesis: AI governance is not a statement of principles, it is an operational system, built in layers, and auditable end to end.
Drawing on a decade of implementation work across healthcare, financial services, government, and mission-driven organizations, Governing Intelligence translates the global regulatory landscape, the EU AI Act, GDPR, NIST AI RMF, ISO/IEC 42001, HIPAA, GLBA, FERPA, and sectoral U.S. and international regimes, into an executable framework teams can actually build against.
Each chapter pairs legal and regulatory analysis with concrete implementation patterns, risk mappings, and governance-in-practice callouts connecting statutory language to specific layers of the Stack. Appendices include a phased governance checklist and a template AI System Impact Assessment, meant to be adopted and adapted, not admired.
The table of contents below reflects the first edition. Chapters can be read independently or in sequence; each begins with key takeaways, key terms, a case study, and discussion questions suitable for classroom or reading-group use.
Since publication, the book has been taken up by graduate programs, compliance and risk teams at scale, and government bodies shaping AI policy, each treating the AI Governance Stack as a practical scaffold for the work in front of them.
A full-semester or module-sized text for graduate and upper-undergraduate courses in AI governance, privacy, law & policy, or responsible computing. Instructor materials available on request.
Fortune 500 and scale-up teams reference the AI Governance Stack and the appendix templates as a scaffold for internal policy, model inventories, risk taxonomies, and program design.
Government teams use the book as a framework for AI policy and procurement evaluation, mapping statutory language to implementable control layers in RFPs, audits, and reviews.
A readable reference for boards and C-suites, each chapter opens with key takeaways and closes with discussion questions suitable for strategy retreats and board deep-dives.
The Learning Hub is the online companion to Governing Intelligence, a structured, self-paced program that turns each chapter into a working exercise. Enrollment is free. Learners progress through modules, take knowledge checks, discuss with peers, and can generate a completion record for their institution or employer.
Each of the book’s twenty chapters is mirrored by a Hub module, reading guide, core takeaways, key terms, and a working exercise grounded in the AI Governance Stack.
Short formative assessments at the end of each module reinforce the material and track progress. Results are saved to the learner’s portal for self-review and completion records.
Each chapter’s discussion prompts and case studies are carried into the Hub, designed for cohorts, study groups, or individual reflection, with space for written responses.
Curated sequences for counsel, compliance, security, ML/AI engineering, policy, and executive audiences, so teams can move through the material on the track most relevant to their work.
Learners who finish a pathway receive a verifiable completion record, suitable for CPE/CLE portfolios, internal training ledgers, and institutional record-keeping.
Programs, universities, and enterprise governance teams can onboard cohorts, still free, with instructor dashboards and group progress views available on request.
The full textbook is free to read online. For deeper study, the Learning Hub extends the book with companion material, also free.