Details

Artificial Integrity


Artificial Integrity

The Paths to Leading AI Toward a Human-Centered Future
1. Aufl.

von: Hamilton Mann

22,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 09.09.2024
ISBN/EAN: 9781394297993
Sprache: englisch
Anzahl Seiten: 304

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

Beschreibungen

<p><b>Navigating the transitions to the future of AI—Integrity over Intelligence</b> <p>Envision a world where artificial intelligence can deliver integrity-led outcomes seamlessly, adapting to diverse cultural context, value models, and situational nuances, countering subconscious biases, all while operating in an advanced human-centered manner. This is the promise of <i>Artificial Integrity.</i> <p>In <i>Artificial Integrity,</i> digital strategist, technologist, doctoral researcher, acclaimed management thinker, and seasoned business executive Hamilton Mann emphasizes that the challenge of AI is in ensuring systems that exhibit integrity-led capabilities over the pursuit of mere general or super intelligence. <p>Mann tackles the inadequacies of traditional ethical frameworks in handling the complexities of new AI technologies to make them trustworthy and reliable as they profoundly impact human lives. <p>Introducing the transformative concept of “artificial integrity,” Mann proposes a paradigm shift, defining a “code of design” to ensure AI systems align with, amplify, and sustain human values and societal norms, maximizing integrity-led AI outcomes. <p><i>Artificial Integrity</i> discusses practical insights into driving a future where AI enhances, without replacing, human capabilities while being inclusive and reflective of diverse human experiences, emphasizing human agency. <p>The book offers: <ul> <li>Guiding posts and step-by-step solutions for designing, implementing and continuously aligning AI development to responsibly advance human and artificial co-intelligence</li> <li>Strategies and actionable advice for integrating AI into business and societal structures</li> <li>Practical paths toward managing the transition to the future of AI for human productivity and decision-making while maintaining sustainable trustworthiness</li> </ul> <p><i>Artificial Integrity</i> is essential for anyone involved in AI development, from executives, business leaders, and managers to entrepreneurs, tech enthusiasts and policymakers. It's also perfect for laypeople interested in how AI intersects with society. Dive into this compelling and thought provoking read to ensure you are prepared for the challenges and opportunities that lie ahead in a human-centered AI-driven future.
<p><b>HAMILTON MANN</b> is a Tech Executive, Digital and AI for Good Pioneer, Keynote Speaker, and the originator of the concept of Artificial Integrity. He serves as Group Vice President at Thales, where he co-leads the AI initiative and Digital Transformation while also overseeing global Digital Marketing activities. He also serves as a Senior Lecturer at INSEAD and HEC Paris as well as a mentor at the MIT Priscilla King Gray (PKG) Center. He is a doctoral researcher in AI at École Nationale des Ponts et Chaussées - Institut Polytechnique de Paris. He writes regularly for <i>Forbes</i> as an AI columnist and has published articles about AI and its technological and societal implications in prominent academic, business, and policy outlets such as <i>Stanford Social Innovation Review</i> (SSIR), <i>Knowledge at Wharton, Leader to Leader </i>(Wiley), <i>Dialogue Duke Corporate Education</i>, <i>INSEAD Knowledge</i>, the <i>Harvard Business Review France </i>and the <i>European Business Review</i>. He hosts <i>The Hamilton Mann Conversation</i>, a podcast on Digital and AI for Good, ranked in the Top 10 for technology thought leadership by <i>Technology Magazine</i>. He was inducted into the Thinkers50 Radar as one of the 30 most prominent rising business thinkers globally.
<p>“<i>Artificial Integrity </i>is more than a book; it’s the dawn of a new interdisciplinary field of science for the future. Hamilton Mann’s concept of Artificial Integrity is a call to action with sharp guidelines and well-articulated framework for executing what AI can and should be.”<BR> <b>—SOUMITRA DUTTA, PhD,</b> Peter Moores Dean and Professor of Management, Saïd Business School, University of Oxford, and a Fellow of Balliol College, Oxford <p>“This insightful concept and framework of Artificial Integrity coined by Hamilton Mann represents a paradigm shift and an essential playbook for leaders wishing to steer AI development toward a human-centered future. Read this book to understand, but more importantly, to act for the development of AI designed not simply to produce more Artificial Intelligence, but to uphold more integrity.”<BR> <b>—LUC JULIA, PhD,</b> Chief Scientific Officer, Renault Group, co-creator of Siri, Member of the French Academy of Technologies <p>“In this important and timely book, Hamilton Mann proposes the radical new concept of Artificial Integrity—the purposeful alignment of Artificial Intelligence with human moral codes and social norms—and argues it should be baked into the code at the very heart of this new technology. Mann provides practical strategies for business leaders, managers, and policymakers to lead through this technological revolution. I urge everyone who cares about our collective future as humans to read this book.”<BR> <b>—MICHAEL PLATT, PhD,</b> Director of the Wharton Neuroscience Initiative and Professor of Marketing, Neuroscience, and Psychology, the University of Pennsylvania <p>“As someone wary of AI hype, I found Hamilton Mann’s <i>Artificial Integrity</i> refreshingly practical. Unlike works focused on AGI or broad ethical principles, Mann provides concrete strategies for embedding integrity into current AI systems. Drawing on global perspectives and bridging academia and business, this essential read offers a forward-thinking perspective on ethical AI implementation, and will significantly influence responsible AI development and deployment.”<BR> <b>—ANAND S. RAO, PhD,</b> Distinguished Service Professor of Applied Data Science and AI, Carnegie Mellon University

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