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Artificial Intelligence for a Better Future

An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies

  • Book
  • Open Access
  • © 2021

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Overview

Authors:
  1. Bernd Carsten Stahl

    1. Centre for Computing and Social Responsibility, De Montfort University, Leicester, UK

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  • Offers a novel conceptualisation of the AI ethics debate by applying the discourse of innovation ecosystems to AI
  • Practice-oriented with an aim to give stakeholders and decisions makers conceptually sound and empirically rich ways of dealing with the ethics of AI
  • Provides novel empirical insights into the way AI ethics is perceived and dealt with in organisational and social practice, based on case studies, scenarios, a Delphi study, and a large-scale survey
  • Introduces a practical approach to AI ethics, based on established methods of responsible research and innovation and the well established ethical principle of human flourishing
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Research and Innovation Governance (BRIEFSREINGO)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-x
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  2. Introduction

    • Bernd Carsten Stahl
    Pages 1-5Open Access
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  3. Perspectives on Artificial Intelligence

    • Bernd Carsten Stahl
    Pages 7-17Open Access
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  4. Concepts of Ethics and Their Application to AI

    • Bernd Carsten Stahl
    Pages 19-33Open Access
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  5. Ethical Issues of AI

    • Bernd Carsten Stahl
    Pages 35-53Open Access
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  6. Addressing Ethical Issues in AI

    • Bernd Carsten Stahl
    Pages 55-79Open Access
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  7. AI Ecosystems for Human Flourishing: The Background

    • Bernd Carsten Stahl
    Pages 81-90Open Access
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  8. AI Ecosystems for Human Flourishing: The Recommendations

    • Bernd Carsten Stahl
    Pages 91-115Open Access
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  9. Conclusion

    • Bernd Carsten Stahl
    Pages 117-122Open Access
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  10. Back Matter

    Pages 123-124
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Keywords

About this book

This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems?


This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.




Reviews

“Current efforts are identified and classified into categories in a very interesting chart. ... The book is very current and well written. Every chapter has extensive references.” (David A. Gustafson, Computing Reviews, December 21, 2021)

Authors and Affiliations

  • Centre for Computing and Social Responsibility, De Montfort University, Leicester, UK

    Bernd Carsten Stahl

About the author

Bernd Carsten Stahl is Professor of Critical Research in Technology and Director of the Centre for Computing and Social Responsibility at De Montfort University, Leicester, UK. His interests cover philosophical issues arising from the intersections of business, technology, and information. This includes ethical questions of current and emerging of ICTs, critical approaches to information systems and issues related to responsible research and innovation. 
 


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