Artificial Intelligence for a Better Future : : An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies.

Artificial Intelligence for a Better Future : : An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies.

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Bibliographic Details
Superior document:SpringerBriefs in Research and Innovation Governance Series
:
Stahl, Bernd Carsten.
Place / Publishing House:Cham : : Springer International Publishing AG,, 2021.
©2021.
Year of Publication:2021
Edition:1st ed.
Language:English
Series:SpringerBriefs in Research and Innovation Governance Series
Online Access:
Physical Description:1 online resource (128 pages)
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Table of Contents:
  • Intro
  • Foreword
  • References
  • Acknowledgements
  • Contents
  • 1 Introduction
  • References
  • 2 Perspectives on Artificial Intelligence
  • 2.1 Machine Learning and Narrow AI
  • 2.2 General AI
  • 2.3 AI as Converging Socio-Technical Systems
  • References
  • 3 Concepts of Ethics and Their Application to AI
  • 3.1 Ethical Theories
  • 3.2 AI for Human Flourishing
  • 3.3 Purposes of AI
  • 3.4 Theoretical Perspectives on Human Flourishing
  • 3.5 Ethical Principles of AI
  • References
  • 4 Ethical Issues of AI
  • 4.1 Ethical Benefits of AI
  • 4.2 Empirical Accounts of Ethical Issues of AI
  • 4.3 Ethical Issues Arising from Machine Learning
  • 4.4 General Issues Related to Living in a Digital World
  • 4.5 Metaphysical Issues
  • References
  • 5 Addressing Ethical Issues in AI
  • 5.1 Options at the Policy Level
  • 5.1.1 Policy Aims and Initiatives
  • 5.1.2 Legislation and Regulation
  • 5.1.3 AI Regulator
  • 5.2 Options at the Organisational Level
  • 5.2.1 Industry Commitments
  • 5.2.2 Organisational Governance
  • 5.2.3 Strategic Initiatives
  • 5.2.4 Empirical Insights into AI Ethics in Organisations
  • 5.3 Guidance Mechanisms
  • 5.4 AI Ethics Stakeholders
  • References
  • 6 AI Ecosystems for Human Flourishing: The Background
  • 6.1 An Ecosystems View of AI
  • 6.1.1 AI Innovation Ecosystems
  • 6.2 Ethics of and in (Eco)Systems
  • References
  • 7 AI Ecosystems for Human Flourishing: The Recommendations
  • 7.1 Challenges of Ethical Governance of the AI Ecosystem
  • 7.2 Requirements for Shaping the AI Ecosystem
  • 7.2.1 Clear Boundary of the Ecosystem
  • 7.2.2 Knowledge and Capacity
  • 7.2.3 Governance Principles of AI Ecosystems
  • 7.3 Shaping AI Ecosystems
  • 7.3.1 Conceptual Clarification: Move Beyond AI
  • 7.3.2 Excellence and Flourishing: Recognise Their Interdependence
  • 7.3.3 Measurements of Flourishing: Understanding Expected Impacts.
  • 7.3.4 AI Benefits, Risks and Capabilities: Communication, Knowledge and Capacity Building
  • 7.3.5 Stakeholder Engagement: Understanding Societal Preferences
  • 7.3.6 Responsibility for Regulation and Enforcement: Defining the Central Node(s) of the AI Ecosystems
  • References
  • 8 Conclusion
  • Index.

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