Governing the Machine

How to navigate the risks of AI and unlock its true potential

Ray Eitel-Porter (Author) , Paul Dongha (Author) , Miriam Vogel (Author)

Governing the Machine

How to navigate the risks of AI and unlock its true potential

Ray Eitel-Porter (Author) , Paul Dongha (Author) , Miriam Vogel (Author)

Hardback ₹2499.00 Ebook (PDF) ₹2249.00 Ebook (Epub & Mobi) ₹2249.00

₹2499.00

Buy Now

Description

At a time of rapid change, this is an examination of the safe and ethical use of AI which complies with forthcoming regulations in the UK, Europe and the US.

ChatGPT gained 100 million active users just two months after launch and has been described as the “fastest-growing consumer application in history” [UBS]. In comparison, TikTok took nine months to reach 100 million users and Instagram took around 2.5 years. This increased awareness has been the centre of headlines, stirring panic surrounding the dangers of AI, such as: disinformation, job losses, and widening the digital and wealth divide. But how can businesses actually use AI safely and ethically, and to its full potential?

Despite AI's transformative potential for people and their organizations, public trust in AI is low. If companies wish to take full advantage of AI within their business, they must adopt and communicate a responsible approach to AI in order to build consumer, employee and stakeholder confidence. In Machines we Trust provides business leaders with practical steps to ensure that AI is created and used responsibly, minimizing the potential harm to people, society or the environment.

In Machines We Trust provides a practical guide for business leaders on implementing an effective AI compliance program, addressing the gap left by existing literature that often overlooks practical applications in favour of more theoretical discussions.

Chapter 1: What is Responsible AI?
Chapter 2: Why is Responsible AI important now?
Chapter 3: Who should care about Responsible AI?
Chapter 4: What are the risks of AI?
Chapter 5: Regulation and guidance
Chapter 6: Where do you start?
Chapter 7: A practical framework for implementing Responsible AI
Chapter 8: Designing and implementing your Responsible AI program
Chapter 9: The bigger picture
Chapter 10: Conclusions

Product details

Published	23 Jan 2026
Format	Hardback
Edition	1st
Extent	384
ISBN	9781399426299
Imprint	Bloomsbury Business
Dimensions	234 x 153 mm
Publisher	Bloomsbury Publishing

Author

Ray Eitel-Porter

Ray Eitel-Porter advises multinational companies a…

Author

Paul Dongha

Dr Paul Dongha leads Responsible AI and AI Strateg…

Author

Miriam Vogel

Miriam Vogel is the President and CEO of EqualAI,…

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
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.

Arvind Krishna, Chairman and CEO, IBM
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
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.

James Manyika, Senior Vice President of Technology and Society, Google
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.

Professor Michael Wooldridge, Ashall Professor of the Foundations of Artificial Intelligence, University of Oxford
Based on a wealth of practical experience, thoroughly researched and clearly explained, Governing the Machine is an invaluable companion for anyone implementing AI governance.

Sir Adrian Smith, Director, Alan Turing Institute, 2018-2023