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.
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 critical questions: What happens 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 21st century.
Part I: Understanding the AI revolution and its implications for
government,
Chapter 1: The dawn of AI in public service,
Chapter 2: AIs
potential: transforming public service delivery,
Chapter 3: AI principles and
strategies around the world,
Chapter 4: The regulatory landscape, Part II:
The Human Impact of Automation,
Chapter 5: The automation threat:
administrative jobs at risk,
Chapter 6: The anatomy of job displacement: why
administrative roles are vulnerable,
Chapter 7: Beyond job losses: AIs
impact on the nature of public work,
Chapter 8: Reinventing public service:
the AI-HR revolution,
Chapter 9: How agentic AI can influence the public
sector, Part III: Overcoming challenges and unlocking opportunities,
Chapter
10: Engaging stakeholders: realising the promise of AI in public service,
Chapter 11: Mastering data for artificial intelligence in the public sector:
strategies, challenges, and transformative potential,
Chapter 12: Case
studies: AI in action in the public sector,
Chapter 13: The future of public
service: a vision for an AI-enabled workforce,
Chapter 14: The AI Empire
State: how New York City is redefining AI technologys future, Part IV:
Shaping the future of governance,
Chapter 15: Closing thoughts A Call to
action for rapid deployment of AI, Appendices
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 Italys top insurance group. He earned an Executive MBA from Bayes Business School in London.
