Governing the Machine: How to Navigate the Risks of AI and Unlock Its True Potential (Hardcover) (ISBN-13: 9781399426299)

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.

Author: Ray Eitel-Porter, Paul Dongha, Miriam Vogel
ISBN-10: 139942629X
ISBN-13: 9781399426299
Publisher: Bloomsbury Business
Language: English
Published: 10/21/2025
Pages: 384
Format: Hardcover
Weight: 1.00lbs
Size: 9.21h x 6.02w x 1.00d