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

• Superior document: SpringerBriefs in Research and Innovation Governance Series
• Author: 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
• Physical Description: 1 online resource (128 pages)

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.