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Automating Government: How AI Will Revolutionise Public Services is a timely and authoritative guide for political leaders, senior managers, and public officials confronting the challenges and opportunities of artificial intelligence. Through dozens of global case studies and clear analysis, it explores how AI can transform public services, such as predictive healthcare, automated social services, and real-time transport systems, leading to improved outcomes and lower costs.While the potential is considerable, the implications are far from straightforward. The book addresses the following critical questions: What will happen to jobs? Can we trust machines to make decisions about people’s lives? Will AI reduce inequality or entrench it further?Rich in practical insight and grounded in real-world examples, Automating Government sets out a roadmap for responsible, effective AI adoption in the public sector. It challenges readers to see AI not simply as a tool for efficiency but as a means to build a more capable, inclusive and accountable state fit for the demands of the twenty-first century.
Jeremy N. White has over 40 years of experience in technology and venture capital financing in Europe and the United States and has been involved in over 50 acquisitions while raising more than £100 million in development capital for his companies. He is currently an Honorary Visiting Professor at Bayes Business School in London, where he teaches behavioural corporate strategy to postgraduate students as well as serving on the global advisory board. Massimiliano Filippi is a governance and management professional with over a decade of experience in the insurance and financial services sectors across Italy, Europe, and the United States. He is currently leading innovation and regulatorydriven projects at Italy’s top insurance group. He earned an Executive MBA from Bayes Business School in London.
| Author | Jeremy N. White, Massimiliano Filippi |
| ISBN-13 | 9781040621301 |
| Publisher | Taylor & Francis |
| Publication Date | 03/27/2026 |
| Page Count | 252 pages |
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