Miriam Vogel, Paul Dongha og Ray Eitel-Porter Governing the Machine (3, 2025) | Miriam Vogel,Ray Eitel-Porter,Paul Dongha

*WINNER ('SPECIALIST BUSINESS BOOK' CATEGORY), BUSINESS BOOK AWARDS 2026* "Responsible AI isn’t just a technical challenge – it’s a leadership imperative. This book offers essential guidance for anyone navigating the promise of deploying AI at scale. Read this book to understand how." Reid Hoffman, co-founder of LinkedIn and bestselling author of Superagency: What Could Possibly Go Right with Our AI Future "Grounded, up-to-date, thorough, actionable – you could read this book, or you could pay consultants gazillions of dollars to tell you something less useful." Stuart Russell OBE , Professor of Computer Science, University of California, Berkeley Governing the Machine is the essential guide to harnessing the transformative potential of AI, while navigating and mitigating its inherent risks. Despite AI’s power to innovate daily life and revolutionize organizations, public trust in AI is low. For companies to take full advantage of AI, it is vital that they adopt and communicate a responsible approach in order to build consumer, employee and investor confidence. Governing the Machine provides business leaders with a practical and flexible framework for building comprehensive and robust AI governance. It empowers organizations to reap the benefits, while ensuring that AI is trustworthy, sustainable and a source of opportunity and profit rather than liability and harm. Drawing on their vast experience advising leading global companies, the authors demystify: · The process of defining AI principles and policies · Recognizing and assessing risks · Approaches for developing safeguards · Selecting the right technical tools and training · Evolving global AI regulations, laws and policies, including the EU AI Act and those in the US, UK and other key regions Whether you're just beginning your AI journey or assessing your organization’s approach, this book is your essential guide to seizing the opportunity – and avoiding the pitfalls – of AI systems.