Governing the Machine

Regular price €31.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Miriam Vogel
A01=Paul Dongha
A01=Ray Eitel-Porter
Author_Miriam Vogel
Author_Paul Dongha
Author_Ray Eitel-Porter
business leaders
Category=KJD
Category=UYQ
computer systems
consumer trust
corporate risk
employee confidence
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ethical
EU regulations
futurism
machine learning
problem-solving
Responsible AI
safe
technology
UK regulations
understanding AI
US regulations

Product details

  • ISBN 9781399426299
  • Weight: 590g
  • Dimensions: 160 x 236mm
  • Publication Date: 23 Oct 2025
  • Publisher: Bloomsbury Publishing PLC
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

* SHORTLISTED FOR THE BUSINESS BOOK AWARDS 2026*

‘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.

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.

Dr Paul Dongha leads Responsible AI and AI Strategy at one of the UK's largest banks, NatWest Group. He ensures AI innovation drives value while rigorously adhering to regulations and protecting customers.

Miriam Vogel is the President and CEO of EqualAI, a nonprofit supporting AI adoption by promoting AI governance and literacy, and served as inaugural Chair of the US National AI Advisory Committee, mandated by Congress to advise the President on AI policy.

More from this author