Direction and ownership
Define who decides, who challenges, and who remains accountable.
Books by Noah M. Kenney
Responsibility
in the age of AI.
Three books for the people responsible for governing intelligent systems: a foundational textbook, a role-based practitioner’s manual, and a case-led account of system failure.
Explore the books ↓The central question
Who remains responsible when intelligent systems shape consequential decisions?
Governing Intelligence establishes the architecture. The AI Governance Practitioner’s Manual puts it to work by role. When the Model Was Wrong shows what institutional failure looks like in practice.
01
Open-access textbook
Governing
Intelligence
Intelligence
Law, privacy, security, and compliance in the age of AI
First edition
Textbook · 2026
Governing
Intelligence.
Law, privacy, security, and compliance in the age of artificial intelligence.
A field guide for turning broad commitments into ownership, controls, evidence, and repeatable decisions across the AI lifecycle. Written for practitioners who need to connect the boardroom, legal function, technical teams, vendors, and day-to-day operations.
PurposeBuild an operating model
AudienceLeaders and practitioners
Format488 pages, 20 chapters
Inside Governing Intelligence
A practical architecture for governing AI.
The book follows governance from institutional mandate to operational evidence, showing how every layer must connect if accountability is going to hold.
Law, policy, and risk
Translate obligations into decisions teams can consistently make.
Data, models, and vendors
Govern the full chain, including dependencies outside the enterprise.
Security and assurance
Create evidence that governance works under real operating pressure.
Monitoring and response
Keep the system responsive as risks, uses, and rules change.
02
46 chaptersFree access
Practitioner manual · 2026
The AI Governance
Practitioner’s Manual.
Law, privacy, security, and compliance for every role.
A complete manual to ground a governance program in, with dedicated sections for lawyers, governance leaders, privacy professionals, engineers, security professionals, auditors, product leaders, and executives.
Inside46 chapters across nine parts
ToolsChecklists, assessments, reports, and templates
AccessThe complete book, free
03
Narrative nonfiction · 2026
When the Model
Was Wrong.
Stories from the front lines of system failure.
A case-led examination of moments when automated systems failed in public, harmed real people, or revealed the distance between technical capability and institutional accountability. Built to be readable in the boardroom and useful in the classroom.
ApproachCases before abstractions
ForExecutives, boards, students
QuestionWho owns the outcome?
Case-ledHuman-centered