Governing the Machine
- Author Ray Eitel-Porter, Paul Dongha and Miriam Vogel
- Narrator Miriam Vogel, Oliver Hembrough
- Publisher Bloomsbury Publishing
- Publish Date 23 October 2025
- Run Time 11 hours and 19 minutes
- Format Audio
- Genre Artificial intelligence, Business innovation.
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What to expect
Bloomsbury presents Governing the Machine by Ray Eitel-Porter, Paul Dongha and Miriam Vogel, read by Miriam Vogel and Oliver Hembrough
‘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.
‘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.
Critics Review
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.
AI’s promise is real, but practical governance is required to earn trust and fulfil that promise. Governing the Machine is a refreshing, timely, and clear-eyed roadmap for leaders determined to scale AI and capitalize on its full potential.
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.
My advice to every business: ensure that you can harness the benefits of AI by proactively considering the important management and governance questions raised in this book.
AI is the most anticipated technology of the 21st century – but deploying it is beset by risks and challenges. This highly accessible book is the first clear introduction to AI governance. Written by practitioners with a wealth of experience both of AI itself and of its role in enterprises, it deserves to become the handbook for the field.
Based on a wealth of practical experience, thoroughly researched and clearly explained, Governing the Machine is an invaluable companion for anyone implementing AI governance.
An invaluable blueprint for the public sector to use AI safely and build public trust.
We have a responsibility to shape how AI is applied to drive meaningful, sustainable transformation across industries while upholding the public good. This book is an essential guide for doing just that.
The AI era presents organizations with unprecedented opportunities and risks, and Trust will be THE key enabler and differentiator. The authors provide valuable insights and a compelling roadmap to help leaders scale AI for a trusted, successful future.
This book is a brilliant step-by-step guide to developing a strategic and proportionate approach to AI, from governance to implementation, drawing on the authors' extensive hands-on experience. This is an essential guide for all, regardless of where you are in your own AI journey.
As AI permeates every aspect of financial management, banks must not just adopt it, but pioneer its responsible deployment, protecting the financial wellbeing of every customer. Failing to do so will harm their most valuable asset: trust. This book is an invaluable guide in navigating that journey.
This book is a must-read for anyone deploying AI. It offers a clear, practical roadmap to govern AI systems and avoid harmful outcomes.
Governing the Machine sidesteps extremism in our tug-of-war over generative and agentic AI. The book presents a practical approach to effective organizational governance of the technologies, where responsible and transparent practices help earn public trust while assuring sustainable innovation over time. I commend the informed guidance for companies large and small. Business leaders, professional technologists, policy experts, and compliance officers will all gain useful insights into the promise and risk of these technologies.
Think of AI like a Formula 1 McLaren – high performance, but it needs a skilled driver, a capable team, strong brakes, and safety systems. The authors provide a step-by-step guide to building safety and control components for AI from the ground-up without sacrificing performance.
AI governance is where organizational values are realized in action and process. This timely, immensely readable book on the subject orients and entertains. A touchstone for neophytes and experienced practitioners alike, it offers actionable advice grounded in careful research alongside lively illustrations. It will help organizations small and large design and implement an effective program.
A timely and landmark book which fills an urgent gap in the market: filled with practical examples, cutting through the hype, to reveal practical steps for organizations to become AI-ready.
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