In Machines We Trust

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

In Machines We Trust cover

Description

In Machines We Trust 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.

In Machines We Trust 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
· Recognising 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.

Table of Contents

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 Oct 2025
Format Ebook (PDF)
Edition 1st
Extent 384
ISBN 9781399426268
Imprint Bloomsbury Business
Publisher Bloomsbury Publishing

About the contributors

Author

Ray Eitel-Porter

Ray Eitel-Porter was a pioneer in AI governance an…

Author

Paul Dongha

Dr Paul Dongha leads Responsible AI and AI Strateg…

Author

Miriam Vogel

Miriam Vogel is the President and CEO of EqualAI,…

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