'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 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 · 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.
Governing the Machine by Ray Eitel-Porter, Dr. Paul Dongha and Miriam Vogel is a timely and essential guide for leaders, policymakers, and technologists seeking to understand how to harness the power of artificial intelligence responsibly. The authors move beyond the hype and headlines to deliver a thoughtful, structured approach to AI governance, one that balances innovation with accountability. Through a comprehensive risk framework covering issues such as bias, explainability, data privacy, and sustainability, they provide readers with a practical blueprint for building governance programs that safeguard both organizations and society.
What sets this book apart is its clarity and relevance. The authors don't just describe the risks, they explain how to manage them through actionable processes, controls, and leadership principles. The authors also provide insight on generative and agentic AI which are particularly valuable, helping readers anticipate emerging challenges while remaining adaptable to rapid technological change. Governing the Machine is an indispensable read for anyone serious about unlocking AI’s true potential without losing sight of ethics, transparency, and trust.