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Artificial Integrity 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.-SOUMITRA DUTTA, PhD, Peter Moores Dean and Professor of Management, Saïd Business School, University of Oxford, and a Fellow of Balliol College, Oxford 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.-LUC JULIA, PhD, Chief Scientific Officer, Renault Group, co-creator of Siri, Member of the French Academy of Technologies 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.-MICHAEL PLATT, PhD, Director of the Wharton Neuroscience Initiative and Professor of Marketing, Neuroscience, and Psychology, the University of Pennsylvania As someone wary of AI hype, I found Hamilton Mann's Artificial Integrity 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.-ANAND S. RAO, PhD, Distinguished Service Professor of Applied Data Science and AI, Carnegie Mellon University