Paperback. AI is making consequential decisions inside your organisation - right now.Credit approvals, fraud detection, hiring screens, legal drafts, clinical recommendations. AI models are embedded in core operations at most large organisations. The question is no longer whether to use AI - it's whether you're governing what it does on your behalf.Mastering AI Model Risk is the definitive executive guide to understanding, managing, and governing AI model risk in the era of binding regulation. Written for boards, C-suite executives, and senior risk professionals, this practical guide cuts through the technical complexity to give leaders the mental models, frameworks, and action plans they need.What you'll learn: Why AI model risk is a board-level issue - and the real financial, legal, and reputational costs of getting it wrongThe EU AI Act decoded - mandatory requirements, risk classifications, conformity assessments, and penalties up to 35m or 7% of global turnoverThe AI model lifecycle - where risk enters at every stage from data sourcing to decommissioningLLM and agentic AI risks - hallucination, prompt injection, autonomous action, and how to govern systems that act faster than humans can reactGovernance frameworks that work - clear accountability structures, model inventories, risk tiering, and escalation paths that reach the boardPractical mitigation strategies - model validation, explainability, red-teaming, bias audits, and human oversight mechanismsBuilding a resilient AI risk culture - from shadow AI to board-level AI literacyReal-world case studies - discriminatory hiring tools, flash crashes, regulatory enforcement, and reputational failuresIncludes an Executive Glossary of 25+ AI risk terms, a 90-day action plan with role-level owners, regulatory framework references (EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, PRA SS1/23), and a curated toolkit of governance platforms and academic references.Who this book is for: CEOs, CFOs, CROs, CDOs, General Counsels, Board Directors, Non-Executive Directors, Chief Compliance Officers, and any senior leader whose organisation deploys or plans to deploy AI systems in consequential contexts.The executive who understands AI model risk has a meaningful advantage. The one who delegates it entirely to the data science team is exposed. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

Title: Mastering AI Model Risk (Paperback)
Publisher: Independently Published
Publication Date: 2026
Language: English
ISBN 13: 9798257289231
Binding: Paperback
Condition: new

About this title

Synopsis

AI is making consequential decisions inside your organisation — right now.

Credit approvals, fraud detection, hiring screens, legal drafts, clinical recommendations. AI models are embedded in core operations at most large organisations. The question is no longer whether to use AI — it's whether you're governing what it does on your behalf.

Mastering AI Model Risk is the definitive executive guide to understanding, managing, and governing AI model risk in the era of binding regulation. Written for boards, C-suite executives, and senior risk professionals, this practical guide cuts through the technical complexity to give leaders the mental models, frameworks, and action plans they need.

What you'll learn:

Why AI model risk is a board-level issue — and the real financial, legal, and reputational costs of getting it wrong
The EU AI Act decoded — mandatory requirements, risk classifications, conformity assessments, and penalties up to €35m or 7% of global turnover
The AI model lifecycle — where risk enters at every stage from data sourcing to decommissioning
LLM and agentic AI risks — hallucination, prompt injection, autonomous action, and how to govern systems that act faster than humans can react
Governance frameworks that work — clear accountability structures, model inventories, risk tiering, and escalation paths that reach the board
Practical mitigation strategies — model validation, explainability, red-teaming, bias audits, and human oversight mechanisms
Building a resilient AI risk culture — from shadow AI to board-level AI literacy
Real-world case studies — discriminatory hiring tools, flash crashes, regulatory enforcement, and reputational failures

Includes an Executive Glossary of 25+ AI risk terms, a 90-day action plan with role-level owners, regulatory framework references (EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, PRA SS1/23), and a curated toolkit of governance platforms and academic references.

Who this book is for:

CEOs, CFOs, CROs, CDOs, General Counsels, Board Directors, Non-Executive Directors, Chief Compliance Officers, and any senior leader whose organisation deploys or plans to deploy AI systems in consequential contexts.

The executive who understands AI model risk has a meaningful advantage. The one who delegates it entirely to the data science team is exposed.

"About this title" may belong to another edition of this title.

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