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Ethics of Artificial Intelligence

Case Studies and Options for Addressing Ethical Challenges

  • Book
  • Open Access
  • © 2023

You have full access to this open access Book


  • Is open access, which means that you have free and unlimited access
  • Provides the first book collection of real-life AI ethics case studies
  • Each AI ethics case study is accompanied by commentary and possible solutions
  • Written accessibly without jargon to be suitable for a wide range of audiences

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

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Table of contents (9 chapters)


About this book

This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public.


“Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI, the first book in this brief literature review … . This is explained by the intended audience of the book, which presents itself as a practical handbook for policy makers, engineers, and other professionals involved in the design, development, and deployment of AI. … The book is systematically structured. … The illustrative examples drawn from real-life events are one of the main assets of this book.” (Christian Goglin, Journal of Business Ethics, Vol. 188 (3), 2023)

“The present book examines the complex ethical landscape surrounding AI. … The concluding chapter serves as a synthesis of the ethical concerns and debates surrounding AI as discussed throughout the book. The core argument revolves around the notion that the ethical challenges posed by AI are often not intrinsic to the technology itself, but arise from its application, deployment, and reliability in various contexts.” (M. Caramihai, Computing Reviews, November 10, 2023)

Authors and Affiliations

  • School of Computer Science, University of Nottingham, Nottingham, UK

    Bernd Carsten Stahl

  • Centre for Professional Ethics, University of Central Lancashire, Preston, UK

    Doris Schroeder

  • Trilateral Research, London, UK

    Rowena Rodrigues

About the authors

Bernd Carsten Stahl is Professor of Critical Research in Technology at the School of Computer Science of the University of Nottingham and former 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. 

Doris Schroeder is Professor of Moral Philosophy and Director at the Centre for Professional Ethics, UCLan UK and Professor in the School of Law at UCLan Cyprus. Her specialist areas of expertise are research ethics and inclusive research and innovation. She is the lead author of the Global Code of Conduct for Research in Resource-Poor Settings which is now used in over 50 countries after adoption by the European Commission and NATURE.

Rowena Rodrigues (Phd) is Head of Innovation & Research Services at Trilateral Research Ltd and co-leads and works to drive the growth of the Innovation & Research services in defined strategic business areas. She carries out legal, ethical and policy research related to new and emerging technologies (e.g., AI, robotics) and provides regulatory, industry and policy advice. She co-edited Privacy and Data Protection Seals (TMC Asser/Springer 2018).

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