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About this book
Why Every Corporate Leader Needs This Book to Master AI Governance
AI is reshaping industries faster than most leadership teams can adapt. Companies with strong digital and AI capabilities are outperforming peers by two to six times in Total Shareholder Return. The gap is widening as leaders compound their advantages, making it increasingly difficult for others to keep pace. Without proper governance, directors expose their organizations to costly failures. AI in the Boardroom equips leaders with the frameworks and tools to harness AI's potential responsibly, drive innovation, and avoid costly missteps.
This book provides:
- An essential guide to the twelve foundational AI techniques with real-world commercial applications that board members need to understand.
- Insight into why most companies are not AI-ready due to immature data governance, along with actionable strategies to close this critical gap.
- A comprehensive AI governance framework that addresses AI-specific risks, which often fall outside the scope of traditional ERM frameworks.
- Real-world use cases to inspire how AI can drive innovation and competitive advantage, showcasing the art of the possible for your organization.
This is a must-read for directors, C-suite executives, and governance leaders committed to unlocking AI's potential. Lead your organization with confidence, leveraging AI for growth while ensuring a solid governance foundation.
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Information
Table of contents
- Front Cover
- Half Title
- Title Page
- Copyright
- Description
- Contents
- Testimonials
- Foreword
- Preface
- Acknowledgments
- Introduction
- Chapter 1 The Case for Boardroom Oversight and Engagement
- Chapter 2 An Introduction to AI
- Chapter 3 AIâs Decision-Making ParadigmsâProbabilistic or Deterministic
- Chapter 4 Deciphering AI RisksâWhat Directors Should Know
- Chapter 5 A Primer on Data and Data Governance
- Chapter 6 A Board Memberâs Guide to Core AI Techniques
- Chapter 7 A Board Risk Management Framework for AI
- Chapter 8 A Board Director Call to Action
- Appendix A Board Oversight Checklist for AI
- Appendix B Checklist for Third-Party AI Adoption
- Appendix C Board Director Checklist for AI Data Governance
- Appendix D Board Governance Checklist for Third-Party Data in AI
- Appendix E Governance Questions for Core AI Techniques
- Appendix F Root Causes of Bias in AI Models
- Appendix G Five Prominent Homogeneous Ensemble Learning Models
- Appendix H Five Prominent Multimodal Ensemble Learning Models
- Glossary of AI Terminology
- References
- About the Author
- Index
- Other Titles in the Corporate Governance Collection
- Back Cover