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E-raamat: AI and the Future of the Public Sector - The Creation of Public Sector 4.0: The Creation of Public Sector 4.0 [Wiley Online]

  • Formaat: 288 pages
  • Sari: Wiley Finance
  • Ilmumisaeg: 11-Aug-2022
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119868130
  • ISBN-13: 9781119868132
Teised raamatud teemal:
  • Wiley Online
  • Hind: 52,87 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
AI and the Future of the Public Sector - The Creation of Public Sector 4.0: The Creation of Public Sector 4.0Suurem pilt
  • Formaat: 288 pages
  • Sari: Wiley Finance
  • Ilmumisaeg: 11-Aug-2022
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119868130
  • ISBN-13: 9781119868132
Teised raamatud teemal:
Wiley Online e-raamatudRohkem infot Wiley Online kohta
Raamatu kodulehekülg: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119868132

Discover how data, analytics, and AI will transform public services for the better

In AI and the Future of the Public Sector: The Creation of Public Sector 4.0, renowned executive and consultant Tony Boobier delivers a comprehensive reference of the most relevant and central issues regarding the adoption and implementation of AI in the public sector. In the book, you’ll find out why data and analytics are the solution to significant and ongoing problems in the public service relating to its ability to effectively provide services in an environment of reduced funding. You’ll also discover the likely impact of future technological developments, like 5G and quantum computing, as well as explore the future of healthcare and the effective digitalization of the healthcare industry.

The book also offers:

  • Discussions of policing 4.0 and how data and analytics will transform public safety
  • Explorations of the future of education and how ai can dramatically enhance educational standards while reducing costs
  • Treatments of the internationalization of public services and its impact on agencies and departments everywhere

A can’t-miss resource for public sector employees at the managerial and professional levels, AI and the Future of the Public Sector is an insightful and timely blueprint to the effective use of artificial intelligence that belongs in the bookshelves of policy makers, academics, and public servants around the world.

Acknowledgments xv
About the Author xvii
Introduction xix
Chapter 1 Understanding the Key Building Blocks of Progress
1(16)
1.1 Introduction
1(1)
1.2 Key Building Blocks of Data Science and AI
2(5)
1.2.1 Data Acquisition
2(1)
1.2.2 Data Maintenance
2(1)
1.2.3 Analysis
3(1)
1.2.4 Communication
3(1)
1.2.5 Machine Learning
4(1)
1.2.6 Artificial Intelligence
4(1)
1.2.7 Advantages and Disadvantages
4(1)
1.2.8 Four Key Focuses for Future AI
5(2)
1.3 Quantum Computing
7(2)
1.3.1 What Is Quantum Computing?
1(8)
1.3.2 Impact on Cybersecurity
9(1)
1.4 Proliferation of Devices
9(2)
1.5 5G and the Impact of Advanced Communications
11(1)
1.5.1 Global Transformation
12(1)
1.6 Public Sectors 4.0
12(2)
1.7 Conclusion
14(1)
1.8 Notes
15(2)
Chapter 2 Office of Finance
17(16)
2.1 Introduction
17(1)
2.2 Forecasting and Public Finance Management
18(1)
2.3 Forecasting
19(11)
2.3.1 Qualitative Forecasting
19(1)
2.3.2 Quantitative Forecasting
20(1)
2.3.3 Forecasting for Public Sector Transformation
21(1)
2.3.4 Managing Risk and Uncertainty
22(1)
2.3.5 Forecasting in IT Projects
23(1)
2.3.6 The Move Toward Activity-Based Costing
24(1)
2.3.7 Hard Benefits and Soft Benefits
24(2)
2.3.8 Enterprise Resource Planning
26(2)
2.3.9 AI and Governmental Administration
28(1)
2.3.10 Global Partnership on AI
29(1)
2.4 Conclusion
30(1)
2.5 Notes
30(3)
Chapter 3 Public Order and Safety
33(22)
3.1 Introduction
33(1)
3.2 The Future of Policing in an AI Era
33(8)
3.2.1 Transformation of Police Work
34(2)
3.2.2 Criminal Use of AI
36(1)
3.2.3 Police Use of New Technologies
36(1)
3.2.4 Case Studies in Policing
37(1)
3.2.5 Policing in China
38(1)
3.2.6 Forward-Looking Policing
39(2)
3.3 AI in Policing
41(1)
3.3.1 Impact on Police Behavior
42(1)
3.4 The Citizen as a Key Component of Future Policing
42(1)
3.5 Police and Location Analytics
43(1)
3.6 Policing Summary
44(1)
3.7 Border Security and AI
45(1)
3.8 Customs Reform
46(2)
3.8.1 The Citizen and Taxation
47(1)
3.9 Fire Safety and AI
48(3)
3.9.1 Natural Fire Prevention
49(1)
3.9.2 Prevention of Urban Fires
49(1)
3.9.3 Smart Homes and Fire Detection
49(1)
3.9.4 Commercial Fire Prevention
50(1)
3.9.5 Firefighting Using AI
50(1)
3.9.6 Fire Station Locations
51(1)
3.10 Conclusion
51(1)
3.11 Notes
52(3)
Chapter 4 Personal Social Services
55(22)
4.1 Introduction
55(1)
4.2 Care Homes
56(6)
4.2.1 The UK Model
57(2)
4.2.2 Care Homes in Japan
59(1)
4.2.3 The Canadian Picture
60(1)
4.2.4 The Emergence of AgeTech
60(1)
4.2.5 Going Forward
61(1)
4.2.6 Conclusion
61(1)
4.3 Impact on Children
62(2)
4.4 Mental Health
64(2)
4.5 Social Protection
66(4)
4.5.1 Social Risk Framework
67(3)
4.6 Employment and Benefit Management
70(2)
4.7 Conclusion
72(1)
4.8 Notes
73(4)
Chapter 5 Health
77(16)
5.1 Introduction
77(1)
5.2 Digitalization and Its Importance in Healthcare
77(2)
5.2.1 Different Categories of Data Sources in Healthcare
78(1)
5.3 Medical Monitoring and Biosensors
79(3)
5.3.1 Use of Biosensors in Mental Health
81(1)
5.4 Innovating to Zero in Healthcare
82(2)
5.4.1 Zero Invasive Surgery
82(1)
5.4.2 Zero Waste Management
83(1)
5.4.3 Zero Surgical Errors
84(1)
5.5 Tissue Engineering
84(1)
5.6 Cybernetics
85(1)
5.7 Advancements in Drug Creation and Treatment
86(1)
5.8 Case Studies in Healthcare
87(1)
5.8.1 Ping An Good Doctor
87(1)
5.8.2 Cancer Screening Case Study
87(1)
5.9 Paramedics and AI
88(1)
5.10 Cybersecurity in Healthcare
89(1)
5.11 Conclusion
90(1)
5.12 Notes
91(2)
Chapter 6 Education
93(12)
6.1 Introduction
93(1)
6.2 Learning for the Future
94(2)
6.3 Teaching in the Future
96(2)
6.3.1 The Use of Alfor Predicting Exam Success
97(1)
6.4 AI and Language in the Classroom
98(1)
6.4.1 Automated Essay Scoring
98(1)
6.4.2 Removing Communication Barriers
99(1)
6.5 Robots in the Classroom
99(1)
6.6 The Shortage of Tech Talent
100(1)
6.7 Case Studies in Education
101(1)
6.8 Conclusion
101(1)
6.9 Notes
102(3)
Chapter 7 Defense
105(10)
7.1 Introduction
105(1)
7.2 Use Cases of AI in Defense
106(4)
7.2.1 Intelligence, Surveillance, and Reconnaissance
107(1)
7.2.2 Logistics
108(1)
7.2.3 Cyberspace Operations
108(1)
7.2.4 Information Operations and "Deep Fakes"
108(1)
7.2.5 Command and Control
108(1)
7.2.6 AI and Augmented Reality Soldiers
109(1)
7.2.7 Semi-Autonomous and Autonomous Vehicles
109(1)
7.3 Ethical Issues
110(1)
7.4 Drones
111(2)
7.5 Conclusion
113(1)
7.6 Notes
114(1)
Chapter 8 Smarter Cities and Transportation
115(16)
8.1 Introduction
115(1)
8.2 Smarter Cities
115(4)
8.2.1 Smart Infrastructure
116(1)
8.2.2 Smart Transportation
116(1)
8.2.3 Street Lighting
116(1)
8.2.4 Water Utilities
117(1)
8.2.5 Emergency Services
117(1)
8.2.6 Waste Collection and Disposal
118(1)
8.2.7 Maintenance of Public Places
118(1)
8.2.8 Humans as Devices
118(1)
8.2.9 Data Challenges for Smart Cities
119(1)
8.3 Transportation
119(4)
8.3.1 Traffic Management
120(1)
8.3.2 Road Safety
120(1)
8.3.3 Highway Maintenance
121(1)
8.3.4 Autonomous Trams
121(2)
8.3.5 Autonomous Taxis
123(1)
8.4 Railways and the Future of Rail
123(3)
8.4.1 Net Zero in Rail
124(1)
8.4.2 AI and Effective Rail Timetabling
125(1)
8.5 Air Travel
126(2)
8.6 Conclusion
128(1)
8.7 Notes
128(3)
Chapter 9 Housing and the Environment
131(14)
9.1 Introduction
131(1)
9.2 AI in Social Housing
131(7)
9.2.1 Risk Management in Social Housing
133(1)
9.2.2 Transforming the Tenant Experience
133(1)
9.2.3 Case Study - Housemark Pilot
134(1)
9.2.4 Social Housing Fraud
135(1)
9.2.5 Tenant Viewpoint
136(1)
9.2.6 Alas a Virtual Housing Assistant
137(1)
9.2.7 Chatbots in Social Housing
137(1)
9.3 AI and the Environment
138(1)
9.4 Management of Natural Disasters
139(2)
9.4.1 Flooding and Flood Management
139(1)
9.4.2 Flood Defense
140(1)
9.4.3 Earthquakes, Windstorms, and Forest Fires
141(1)
9.5 Conclusion
141(1)
9.6 Notes
142(3)
Chapter 10 Employment, Industry, and Agriculture
145(12)
10.1 Introduction
145(1)
10.2 Employment
145(3)
10.2.1 Unemployment
146(2)
10.3 AI and Industry
148(3)
10.3.1 State-Owned Enterprises
149(1)
10.3.2 China Model
150(1)
10.3.3 South African Model
150(1)
10.3.4 UK Model
150(1)
10.3.5 SOEs in the United States
151(1)
10.4 Agriculture
151(2)
10.4.1 The Role of AI in Agricultural Policy
152(1)
10.4.2 The Role of AI in Environmental Issues
153(1)
10.5 Conclusion
153(1)
10.6 Notes
154(3)
Chapter 11 The Role of the State
157(16)
11.1 Introduction
157(1)
11.2 What Is the Role of the State?
157(2)
11.3 What Is Surveillance?
159(1)
11.4 Reasons for Surveillance
160(1)
11.5 Surveillance Capitalism
161(2)
11.6 Surveillance in Covid "Track and Trace"
163(1)
11.7 Data Justice and Independent Oversight
164(2)
11.8 A Contrary View
166(1)
11.9 The Ethics of Surveillance
167(1)
11.10 Nudging the Citizen
168(2)
11.11 Conclusion
170(1)
11.12 Notes
171(2)
Chapter 12 Risk and Cybercrime
173(18)
12.1 Introduction
173(1)
12.2 The Nature of Risk
173(3)
12.2.1 Management of Risk
174(2)
12.2.2 Three Lines of Risk Defense
176(1)
12.3 Roles and Responsibilities in the Public Sector
176(1)
12.4 Examples of Risk
176(7)
12.4.1 Technology and System Failure
177(1)
12.4.2 Data Security and Privacy
178(1)
12.4.3 Employee Error
179(1)
12.4.4 Failure of Processes, Systems, and Policies
180(1)
12.4.5 Reputational Risk
181(2)
12.4.6 External Risk
183(1)
12.5 Cybercrime in the Public Sector
183(3)
12.6 Prevention of Cybercrime and Protection from It
186(1)
12.6.1 Air Gapping
186(1)
12.6.2 Supply Chain Vulnerability
186(1)
12.6.3 Impact on Insurance Coverage
187(1)
12.7 The Use of AI in Managing Risk
187(1)
12.8 Conclusion
188(1)
12.9 Notes
189(2)
Chapter 13 Implementation - Leadership and Management
191(22)
13.1 Introduction
191(1)
13.2 Leadership
192(4)
13.2.1 Transfer of Private Sector Leaders to the Public Sector
195(1)
13.3 Leaders or Managers?
196(1)
13.4 Managing the Mission
197(4)
13.4.1 Creating the Mission
197(1)
13.4.2 Prioritization: Where to Start?
198(1)
13.4.3 Communicating the Mission Statement
199(2)
13.5 Management of Resources
201(3)
13.5.1 Technical versus Traditional
201(1)
13.5.2 Specialist versus Generalist
201(1)
13.5.3 Training and Education
202(2)
13.6 Management of Key Stakeholders
204(7)
13.6.1 Worker Representation and Trade Unions
205(2)
13.6.2 US Policy Recommendations
207(1)
13.6.3 German Policy Recommendations
208(1)
13.6.4 "Dignity at Work" and Working from Home
209(2)
13.7 Conclusion
211(1)
13.8 Notes
211(2)
Chapter 14 Further Implementation Issues
213(20)
14.1 Introduction
213(1)
14.2 A Theoretical Approach to Change
213(4)
14.3 Managing the Problem of Bias
217(3)
14.3.1 Data Exclusion from Marginalized Communities
219(1)
14.3.2 Locational Data Issues
220(1)
14.4 Operational Considerations
220(2)
14.4.1 Piloting and Test Running the System
220(1)
14.4.2 Measuring Benefit
221(1)
14.4.3 Independent Review
222(1)
14.5 Outsourcing, Partnering, and Supply Chain Management
222(4)
14.6 The Concept of "Nudge"
226(2)
14.7 Global Considerations
228(3)
14.8 Conclusion
231(1)
14.9 Notes
232(1)
Chapter 15 Conclusion
233(8)
15.1 Reflections
233(1)
15.2 AI and the Real Pace of Change
234(1)
15.3 Measuring ROI - More Art Than Science?
235(1)
15.4 AI and Stimulation of Wider Reforms
236(1)
15.5 The Role of Government in Public Sector Transformation
237(1)
15.6 Moving the Goalposts
238(1)
15.7 Notes
239(2)
Appendix A The Seven Principles of Public Life 241(2)
Appendix B Transformation Roadmap for Public Services 243(2)
Appendix C List of Tables 245(2)
Appendix D List of Figures 247(2)
Index 249
TONY BOOBIER is an independent consultant and former IBM worldwide executive with over 30 years experience in the fields of financial services, business intelligence, and analytics. He holds professional qualifications in engineering, marketing, supply chain management, and insurance.
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