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Table of Contents
Intro
Half Title
Title Page
Copyright Page
Contents
List of Illustrations
Chapter 1 Introduction
References
Part I Strategic Frameworks of AI
Chapter 2 Neuralization: How to Build AI Country Strategy?
First, a Primer on Neuralization
The Three Roles of Government
Understanding the Risks
Building the Strategy: The Framework
Vertical Mapping
Horizontal Mapping
Cognitive Scaling
Conclusion
References
Chapter 3 Global Governance of Artificial Intelligence
Complex Dynamics of the Rise of AI Today
Balance beneficial innovation with mitigating societal risks
Policymakers lag in rapid technological advancement
Global AI race to the bottom?
"Risk appetite" for innovation varies across countries
Fragmented international policy landscape
Approaches to Global Governance of AI
Multi-stakeholder approach to global governance
International panel on AI: A way forward?
Strategic mix of "soft" and "hard" law
Concluding Remarks
Notes
Chapter 4 Government 4.0 and Evidence-Based Policies: AI and Data Analytics to the Rescue
Introduction
Opportunities of AI and ML for Governments
Improving the government's operational efficiency
Using data visualization and predictive inference for evidence-based public policies
Data visualization and the "FrackMap"
ML to predict the migration flow process in China
Challenges for Governments in Implementing AI
The difficulty of accessing (good-quality) data
Ethics, standardization, and privacy
Conclusion
Acknowledgments
References
Chapter 5 The Strategic Implications of Artificial Intelligence for International Security
The Economic Strategic Implications of AI
The Empowerment of Individuals by AI
The Militarization of AI
Conclusions
Notes
Part II AI and Economic Development.
Chapter 6 Using AI to Improve Economic Productivity: A Business Model Perspective
Introduction
Business AI Applications: Drivers and Immediate Outcomes
Technological drivers of business AI applications
AI and bounded rationality problem
Business AI Applications: Impact on Microeconomic Productivity
Value-based view on the business models
AI technologies augmenting WTP
AI technologies reducing costs
AI technologies setting the price right
Conclusion
References
Chapter 7 Handling Resultant Unemployment from Artificial Intelligence
References
Chapter 8 Building Tech Zones to Enhance AI
The AI Cluster
Policy-Level Decisions: Agenda Setting
The relevance question-for what purpose?
The scale question: Where will you export?
The sandbox question: How will you fail safely?
Management Level: Success Factors
The anchor tenant question
The entrepreneurial culture question
The infrastructure and key resource question
The information and knowledge exchange and spillover question
Impact and Control Level: Bounded Reliability
Feedback Level: Agile Learning
AI Boundary
References
Part III AI and the Enhancement of Governance
Chapter 9 AI-Government versus e-government: How to Reinvent Government with AI?
The Next Phase or a New Revolution
From E- to the AI-Government
Model of AI-Government
Intelligence
Governance
Service quality
Conclusion
References
Chapter 10 Economic Governance When Humans and AI Are at Work
Introduction
Human-Agent Collectives
AI-a Twofold Governance Problem
Taxis-order in organizations
Kosmos-spontaneous order
Conclusions
References
Chapter 11 Legal Systems at a Crossroads: Justice in the Age of Artificial Intelligence
An Institutional Perspective
A broad view of the law.
The law in the context of other social institutions
The objective of the law
Complementary inquiries
A Broad-Based Approach
AI, the Law and Trust
Principles for the trustworthy adoption of AI in legal systems
Effectiveness
Competence
Accountability
Transparency
Institutional Development and Change
Notes
Chapter 12 The Curious Case of Fake News: Fighting Smart Machiavellian Machines
The Progress of Fake News
Machiavelli, Fake News and Democracy
AI and Fake News: Two Sides of the Same Coin
Technology Is Fundamental, but It Is Not Enough
References
Chapter 13 Applications of Artificial Intelligence and RPA to Improve Government Performance
Notes
References
Chapter 14 Conclusion
References
Notes on Contributors:
Index.
Half Title
Title Page
Copyright Page
Contents
List of Illustrations
Chapter 1 Introduction
References
Part I Strategic Frameworks of AI
Chapter 2 Neuralization: How to Build AI Country Strategy?
First, a Primer on Neuralization
The Three Roles of Government
Understanding the Risks
Building the Strategy: The Framework
Vertical Mapping
Horizontal Mapping
Cognitive Scaling
Conclusion
References
Chapter 3 Global Governance of Artificial Intelligence
Complex Dynamics of the Rise of AI Today
Balance beneficial innovation with mitigating societal risks
Policymakers lag in rapid technological advancement
Global AI race to the bottom?
"Risk appetite" for innovation varies across countries
Fragmented international policy landscape
Approaches to Global Governance of AI
Multi-stakeholder approach to global governance
International panel on AI: A way forward?
Strategic mix of "soft" and "hard" law
Concluding Remarks
Notes
Chapter 4 Government 4.0 and Evidence-Based Policies: AI and Data Analytics to the Rescue
Introduction
Opportunities of AI and ML for Governments
Improving the government's operational efficiency
Using data visualization and predictive inference for evidence-based public policies
Data visualization and the "FrackMap"
ML to predict the migration flow process in China
Challenges for Governments in Implementing AI
The difficulty of accessing (good-quality) data
Ethics, standardization, and privacy
Conclusion
Acknowledgments
References
Chapter 5 The Strategic Implications of Artificial Intelligence for International Security
The Economic Strategic Implications of AI
The Empowerment of Individuals by AI
The Militarization of AI
Conclusions
Notes
Part II AI and Economic Development.
Chapter 6 Using AI to Improve Economic Productivity: A Business Model Perspective
Introduction
Business AI Applications: Drivers and Immediate Outcomes
Technological drivers of business AI applications
AI and bounded rationality problem
Business AI Applications: Impact on Microeconomic Productivity
Value-based view on the business models
AI technologies augmenting WTP
AI technologies reducing costs
AI technologies setting the price right
Conclusion
References
Chapter 7 Handling Resultant Unemployment from Artificial Intelligence
References
Chapter 8 Building Tech Zones to Enhance AI
The AI Cluster
Policy-Level Decisions: Agenda Setting
The relevance question-for what purpose?
The scale question: Where will you export?
The sandbox question: How will you fail safely?
Management Level: Success Factors
The anchor tenant question
The entrepreneurial culture question
The infrastructure and key resource question
The information and knowledge exchange and spillover question
Impact and Control Level: Bounded Reliability
Feedback Level: Agile Learning
AI Boundary
References
Part III AI and the Enhancement of Governance
Chapter 9 AI-Government versus e-government: How to Reinvent Government with AI?
The Next Phase or a New Revolution
From E- to the AI-Government
Model of AI-Government
Intelligence
Governance
Service quality
Conclusion
References
Chapter 10 Economic Governance When Humans and AI Are at Work
Introduction
Human-Agent Collectives
AI-a Twofold Governance Problem
Taxis-order in organizations
Kosmos-spontaneous order
Conclusions
References
Chapter 11 Legal Systems at a Crossroads: Justice in the Age of Artificial Intelligence
An Institutional Perspective
A broad view of the law.
The law in the context of other social institutions
The objective of the law
Complementary inquiries
A Broad-Based Approach
AI, the Law and Trust
Principles for the trustworthy adoption of AI in legal systems
Effectiveness
Competence
Accountability
Transparency
Institutional Development and Change
Notes
Chapter 12 The Curious Case of Fake News: Fighting Smart Machiavellian Machines
The Progress of Fake News
Machiavelli, Fake News and Democracy
AI and Fake News: Two Sides of the Same Coin
Technology Is Fundamental, but It Is Not Enough
References
Chapter 13 Applications of Artificial Intelligence and RPA to Improve Government Performance
Notes
References
Chapter 14 Conclusion
References
Notes on Contributors:
Index.