Artificial Intelligence for a Better Future : An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies.
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| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing AG,
2021.
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| Edition: | 1st ed. |
| Series: | SpringerBriefs in Research and Innovation Governance Series
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| Subjects: | |
| Online Access: | Click to View |
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.