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Cover -- Title Page -- Copyright Page -- Contents -- Acknowledgments -- About the Author -- Introduction -- The Political Perspective -- Notes -- Chapter 1 Understanding the Key Building Blocks of Progress -- 1.1 Introduction -- 1.2 Key Building Blocks of Data Science and AI -- 1.2.1 Data Acquisition -- 1.2.2 Data Maintenance -- 1.2.3 Analysis -- 1.2.4 Communication -- 1.2.5 Machine Learning -- 1.2.6 Artificial Intelligence -- 1.2.7 Advantages and Disadvantages -- 1.2.8 Four Key Focuses for Future AI -- 1.3 Quantum Computing -- 1.3.1 What Is Quantum Computing? -- 1.3.2 Impact on Cybersecurity -- 1.4 Proliferation of Devices -- 1.5 5G and the Impact of Advanced Communications -- 1.5.1 Global Transformation -- 1.6 Public Sectors 4.0 -- 1.7 Conclusion -- 1.8 Notes -- Chapter 2 Office of Finance -- 2.1 Introduction -- 2.2 Forecasting and Public Finance Management -- 2.3 Forecasting -- 2.3.1 Qualitative Forecasting -- 2.3.2 Quantitative Forecasting -- 2.3.3 Forecasting for Public Sector Transformation -- 2.3.4 Managing Risk and Uncertainty -- 2.3.5 Forecasting in IT Projects -- 2.3.6 The Move Toward Activity-Based Costing -- 2.3.7 Hard Benefits and Soft Benefits -- 2.3.8 Enterprise Resource Planning -- 2.3.9 AI and Governmental Administration -- 2.3.10 Global Partnership on AI -- 2.4 Conclusion -- 2.5 Notes -- Chapter 3 Public Order and Safety -- 3.1 Introduction -- 3.2 The Future of Policing in an AI Era -- 3.2.1 Transformation of Police Work -- 3.2.2 Criminal Use of AI -- 3.2.3 Police Use of New Technologies -- 3.2.4 Case Studies in Policing -- 3.2.5 Policing in China -- 3.2.6 Forward-Looking Policing -- 3.3 AI in Policing -- 3.3.1 Impact on Police Behavior -- 3.4 The Citizen as a Key Component of Future Policing -- 3.5 Police and Location Analytics -- 3.6 Policing Summary -- 3.7 Border Security and AI -- 3.8 Customs Reform.
3.8.1 The Citizen and Taxation -- 3.9 Fire Safety and AI -- 3.9.1 Natural Fire Prevention -- 3.9.2 Prevention of Urban Fires -- 3.9.3 Smart Homes and Fire Detection -- 3.9.4 Commercial Fire Prevention -- 3.9.5 Firefighting Using AI -- 3.9.6 Fire Station Locations -- 3.10 Conclusion -- 3.11 Notes -- Chapter 4 Personal Social Services -- 4.1 Introduction -- 4.2 Care Homes -- 4.2.1 The UK Model -- 4.2.2 Care Homes in Japan -- 4.2.3 The Canadian Picture -- 4.2.4 The Emergence of AgeTech -- 4.2.5 Going Forward -- 4.2.6 Conclusion -- 4.3 Impact on Children -- 4.4 Mental Health -- 4.5 Social Protection -- 4.5.1 Social Risk Framework -- 4.6 Employment and Benefit Management -- 4.7 Conclusion -- 4.8 Notes -- Chapter 5 Health -- 5.1 Introduction -- 5.2 Digitalization and Its Importance in Healthcare -- 5.2.1 Different Categories of Data Sources in Healthcare -- 5.3 Medical Monitoring and Biosensors -- 5.3.1 Use of Biosensors in Mental Health -- 5.4 Innovating to Zero in Healthcare -- 5.4.1 Zero Invasive Surgery -- 5.4.2 Zero Waste Management -- 5.4.3 Zero Surgical Errors -- 5.5 Tissue Engineering -- 5.6 Cybernetics -- 5.7 Advancements in Drug Creation and Treatment -- 5.8 Case Studies in Healthcare -- 5.8.1 Ping An Good Doctor -- 5.8.2 Cancer Screening Case Study -- 5.9 Paramedics and AI -- 5.10 Cybersecurity in Healthcare -- 5.11 Conclusion -- 5.12 Notes -- Chapter 6 Education -- 6.1 Introduction -- 6.2 Learning for the Future -- 6.3 Teaching in the Future -- 6.3.1 The Use of AI for Predicting Exam Success -- 6.4 AI and Language in the Classroom -- 6.4.1 Automated Essay Scoring -- 6.4.2 Removing Communication Barriers -- 6.5 Robots in the Classroom -- 6.6 The Shortage of Tech Talent -- 6.7 Case Studies in Education -- 6.8 Conclusion -- 6.9 Notes -- Chapter 7 Defense -- 7.1 Introduction -- 7.2 Use Cases of AI in Defense.
7.2.1 Intelligence, Surveillance, and Reconnaissance -- 7.2.2 Logistics -- 7.2.3 Cyberspace Operations -- 7.2.4 Information Operations and "Deep Fakes" -- 7.2.5 Command and Control -- 7.2.6 AI and Augmented Reality Soldiers -- 7.2.7 Semi-Autonomous and Autonomous Vehicles -- 7.3 Ethical Issues -- 7.4 Drones -- 7.5 Conclusion -- 7.6 Notes -- Chapter 8 Smarter Cities and Transportation -- 8.1 Introduction -- 8.2 Smarter Cities -- 8.2.1 Smart Infrastructure -- 8.2.2 Smart Transportation -- 8.2.3 Street Lighting -- 8.2.4 Water Utilities -- 8.2.5 Emergency Services -- 8.2.6 Waste Collection and Disposal -- 8.2.7 Maintenance of Public Places -- 8.2.8 Humans as Devices -- 8.2.9 Data Challenges for Smart Cities -- 8.3 Transportation -- 8.3.1 Traffic Management -- 8.3.2 Road Safety -- 8.3.3 Highway Maintenance -- 8.3.4 Autonomous Trams -- 8.3.5 Autonomous Taxis -- 8.4 Railways and the Future of Rail -- 8.4.1 Net Zero in Rail -- 8.4.2 AI and Effective Rail Timetabling -- 8.5 Air Travel -- 8.6 Conclusion -- 8.7 Notes -- Chapter 9 Housing and the Environment -- 9.1 Introduction -- 9.2 AI in Social Housing -- 9.2.1 Risk Management in Social Housing -- 9.2.2 Transforming the Tenant Experience -- 9.2.3 Case Study - Housemark Pilot -- 9.2.4 Social Housing Fraud -- 9.2.5 Tenant Viewpoint -- 9.2.6 AI as a Virtual Housing Assistant -- 9.2.7 Chatbots in Social Housing -- 9.3 AI and the Environment -- 9.4 Management of Natural Disasters -- 9.4.1 Flooding and Flood Management -- 9.4.2 Flood Defense -- 9.4.3 Earthquakes, Windstorms, and Forest Fires -- 9.5 Conclusion -- 9.6 Notes -- Chapter 10 Employment, Industry, and Agriculture -- 10.1 Introduction -- 10.2 Employment -- 10.2.1 Unemployment -- 10.3 AI and Industry -- 10.3.1 State-Owned Enterprises -- 10.3.2 China Model -- 10.3.3 South African Model -- 10.3.4 UK Model -- 10.3.5 SOEs in the United States.
10.4 Agriculture -- 10.4.1 The Role of AI in Agricultural Policy -- 10.4.2 The Role of AI in Environmental Issues -- 10.5 Conclusion -- 10.6 Notes -- Chapter 11 The Role of the State -- 11.1 Introduction -- 11.2 What Is the Role of the State? -- 11.3 What Is Surveillance? -- 11.4 Reasons for Surveillance -- 11.5 Surveillance Capitalism -- 11.6 Surveillance in Covid "Track and Trace" -- 11.7 Data Justice and Independent Oversight -- 11.8 A Contrary View -- 11.9 The Ethics of Surveillance -- 11.10 Nudging the Citizen -- 11.11 Conclusion -- 11.12 Notes -- Chapter 12 Risk and Cybercrime -- 12.1 Introduction -- 12.2 The Nature of Risk -- 12.2.1 Management of Risk -- 12.2.2 Three Lines of Risk Defense -- 12.3 Roles and Responsibilities in the Public Sector -- 12.4 Examples of Risk -- 12.4.1 Technology and System Failure -- 12.4.2 Data Security and Privacy -- 12.4.3 Employee Error -- 12.4.4 Failure of Processes, Systems, and Policies -- 12.4.5 Reputational Risk -- 12.4.6 External Risk -- 12.5 Cybercrime in the Public Sector -- 12.6 Prevention of Cybercrime and Protection from It -- 12.6.1 Air Gapping -- 12.6.2 Supply Chain Vulnerability -- 12.6.3 Impact on Insurance Coverage -- 12.7 The Use of AI in Managing Risk -- 12.8 Conclusion -- 12.9 Notes -- Chapter 13 Implementation - Leadership and Management -- 13.1 Introduction -- 13.2 Leadership -- 13.2.1 Transfer of Private Sector Leaders to the Public Sector -- 13.3 Leaders or Managers? -- 13.4 Managing the Mission -- 13.4.1 Creating the Mission -- 13.4.2 Prioritization: Where to Start? -- 13.4.3 Communicating the Mission Statement -- 13.5 Management of Resources -- 13.5.1 Technical versus Traditional -- 13.5.2 Specialist versus Generalist -- 13.5.3 Training and Education -- 13.6 Management of Key Stakeholders -- 13.6.1 Worker Representation and Trade Unions -- 13.6.2 US Policy Recommendations.
13.6.3 German Policy Recommendations -- 13.6.4 "Dignity at Work" and Working from Home -- 13.7 Conclusion -- 13.8 Notes -- Chapter 14 Further Implementation Issues -- 14.1 Introduction -- 14.2 A Theoretical Approach to Change -- 14.3 Managing the Problem of Bias -- 14.3.1 Data Exclusion from Marginalized Communities -- 14.3.2 Locational Data Issues -- 14.4 Operational Considerations -- 14.4.1 Piloting and Test Running the System -- 14.4.2 Measuring Benefit -- 14.4.3 Independent Review -- 14.5 Outsourcing, Partnering, and Supply Chain Management -- 14.6 The Concept of "Nudge" -- 14.7 Global Considerations -- 14.8 Conclusion -- 14.9 Notes -- Chapter 15 Conclusion -- 15.1 Reflections -- 15.2 AI and the Real Pace of Change -- 15.3 Measuring ROI - More Art Than Science? -- 15.4 AI and Stimulation of Wider Reforms -- 15.5 The Role of Government in Public Sector Transformation -- 15.6 Moving the Goalposts -- 15.7 Notes -- Appendix A: The Seven Principles of Public Life -- Note -- Appendix B: Transformation Roadmap for Public Services -- Appendix C: List of Tables -- Appendix D: List of Figures -- Index -- EULA.
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Advanced analytics and AI : impact, implementation, and the future of work / / by Tony Boobier
