Handbook of Artificial Intelligence and Robotic Process Automation : Policy and Government Applications.

On the commercial side, artificial intelligence applications are powering many sectors. Globally, governments are exploring ways to comprehend, incorporate, apply, and use artificial intelligence technologies. This innovative, forward-looking book assembles the viewpoints of global experts and thoug...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Naqvi, Al, Munoz, J. Mark
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Anthem Press, 2020.
Temas:
Artificial intelligence.
Robotics.
Intelligence artificielle.
Robotique.
artificial intelligence.
COMPUTERS / Intelligence (AI) & Semantics
Artificial intelligence
Robotics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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

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