Trustworthy AI

An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

Foreword vii Preface xi Acknowledgments xv Introduction 3 Chapter 1: A Primer on Modern AI 13 Chapter 2: Fair and Impartial 23 Chapter 3: Robust and Reliable 43 Chapter 4: Transparent 61 Chapter 5: Explainable 75 Chapter 6: Secure 93 Chapter 7: Safe 111 Chapter 8: Privacy 127 Chapter 9: Accountable 147 Chapter 10: Responsible 161 Chapter 11: Trustworthy AI in Practice 175 Chapter 12: Looking Forward 187 Notes 191 Index 199