Authority and accountability
Who decides, who challenges, who implements, and who remains answerable for the outcome.
Open-access textbook · 2026
Governing
Intelligence.
Law, privacy, security, and compliance in the age of artificial intelligence.
300,000+ readers
Open-access textbook
Governing
Intelligence
Intelligence
Law, privacy, security, and compliance in the age of AI
The book
A complete operating architecture for AI governance.
Written for the people responsible for making governance work, not merely approving it.
Governing Intelligence connects law, institutional mandate, technical systems, privacy, security, third parties, controls, monitoring, and evidence. It gives organizations a common architecture for assigning responsibility and governing AI across its lifecycle.
The book is available open access so practitioners, universities, public institutions, and organizations can use it without a licensing barrier.
Reader response
Reader testimonial
“His Governing Intelligence book is terrific, and I mean terrific. If you want to get a handle on how AI governance should be done... I honestly don’t know how you can do it as effectively as you could without this book.”
“This is a proper textbook for a field that does not have enough of them.”
“The five layer AI Governance Stack is the clearest framing of the problem I have seen.”
“It deserves to be the standard reference.”
“I think your mapping of the compliance landscape is the most thorough I've seen.”
What it covers
From board mandate to operating evidence.
Law, policy, and risk
How legal duties, internal policy, standards, and risk appetite become usable decisions.
Data, models, and vendors
Governance across the full technical and commercial chain, including external dependencies.
Security and assurance
Controls that can be assigned, evidenced, tested, and improved under real operating pressure.
Monitoring and response
How institutions detect change, manage exceptions, respond to incidents, and revise the system.
For readers
Built for the people who own the work.
- Board members and executive teams
- AI governance and responsible AI leaders
- Privacy, legal, compliance, and security teams
- Technology, data, product, and procurement leaders
- Faculty, students, researchers, and policymakers