Details

Trustworthy AI


Trustworthy AI

A Business Guide for Navigating Trust and Ethics in AI
1. Aufl.

von: Beena Ammanath

32,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 15.03.2022
ISBN/EAN: 9781119867968
Sprache: englisch
Anzahl Seiten: 224

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

<p><b>An essential resource on artificial intelligence ethics for business leaders</b></p> <p>In <i>Trustworthy AI</i>, 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.</p> <p>Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents:</p> <ul> <li>In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more</li> <li>A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application</li> <li>Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making</li> </ul> <p>Written to inform executives, managers, and other business leaders, <i>Trustworthy AI</i> breaks new ground as an essential resource for all organizations using AI.</p>
<p>Foreword vii</p> <p>Preface xi</p> <p>Acknowledgments xv</p> <p>Introduction 3</p> <p>Chapter 1: A Primer on Modern AI 13</p> <p>Chapter 2: Fair and Impartial 23</p> <p>Chapter 3: Robust and Reliable 43</p> <p>Chapter 4: Transparent 61</p> <p>Chapter 5: Explainable 75</p> <p>Chapter 6: Secure 93</p> <p>Chapter 7: Safe 111</p> <p>Chapter 8: Privacy 127</p> <p>Chapter 9: Accountable 147</p> <p>Chapter 10: Responsible 161</p> <p>Chapter 11: Trustworthy AI in Practice 175</p> <p>Chapter 12: Looking Forward 187</p> <p>Notes 191</p> <p>Index 199</p>
<p><b>BEENA AMMANATH</b> is a global thought leader in AI ethics and an award-winning senior technology executive with extensive experience across a variety of industries. She is currently Executive Director of the Global Deloitte AI Institute and Founder of Humans For AI. She has also worked with companies such as General Electric, Bank of America, Hewlett Packard Enterprise, Thomson Reuters, British Telecom, and more. She has served on the boards of several tech startups, nonprofits and universities.</p> <p><b>http://www.beenammanath.com/</b>
<p><b>ESSENTIAL READING FOR BUSINESS LEADERS FROM RENOWNED AI EXECUTIVE</b></p> <p><i>Trustworthy AI</i> offers readers a pragmatic and direct approach to ethics and trust in artificial intelligence. Combining an exploration of the dimensions of trust with best practices to help leaders develop and use ethical AI, award-winning author and celebrated AI executive Beena Ammanath delivers an actionable guidebook on AI ethics for executives, technologists, ethicists and users. <p>You will learn about the numerous factors in AI trust, the opportunities and pitfalls, and how to structure a strategy for AI ethics. You will also discover how to operationalize AI ethics within your organization and drive ethical AI planning across business units and departments. <p>A can’t miss resource for any organization developing or using artificial intelligence, <i>Trustworthy AI</i> brings clarity on what AI ethics mean in the 21st century marketplace and how to ensure the cognitive tools we use are ones that can be trusted.

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