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News > Alumni > GOVERNING THE MACHINE

GOVERNING THE MACHINE

Governing the Machine, by Ray Eitel-Porter (1981, Modern Languages), is the essential guide to harnessing the transformative potential of AI, while navigating and mitigating its inherent risks
17 Sep 2025
Alumni

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

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 and individuals 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.


Ray Eitel-Porter advises multinational companies and the public sector on AI governance and responsible AI. He is an Accenture Luminary and Senior Research Associate at the Intellectual Forum, Jesus College, Cambridge. He led Accenture’s global Responsible AI practice and established Accenture’s AI governance program.

Governing the Machine will be published by Bloomsbury Business on 23 October 2025 and is available to order from leading booksellers.

It has received early praise:

“Essential guidance for anyone navigating the promise of deploying AI at scale” Reid Hoffman, co-founder, LinkedIn

“Deserves to become the handbook for the field” Professor Michael Wooldridge, Ashall Professor of the Foundations of Artificial Intelligence, University of Oxford.


 

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