Overview
- Offers interdisciplinary perspectives on the use and development of Recommender Systems
- Provides a conceptual analysis of controversial ideas in the field of ADM systems
- Includes an evaluation of regulatory needs and lawmakers’ answers in various legal disciplines
- This book is open access, which means that you have free and unlimited access
Part of the book series: The International Library of Ethics, Law and Technology (ELTE, volume 40)
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Table of contents (11 chapters)
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Front Matter
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Fairness and Transparency
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Front Matter
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Manipulation and Personal Autonomy
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Front Matter
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Designing and Evaluating Recommender Systems
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Front Matter
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Keywords
- Algorithmic Fairness in Recommender Systems
- Discrimination and Fairness on Online Platforms
- Ethics of Artificial Intelligence
- Explainability in Recommender Systems
- Legal Regulation of Recommender Systems
- Manipulation and Nudging on Online Platforms
- Personal Autonomy of Platform Users
- Recommender Systems in Platform Regulation
- Transparency in Recommender Systems
- Open Access
About this book
This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers’ answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems.
Editors and Affiliations
About the editors
Sergio Genovesi is a Post-Doctoral Research Fellow at the Center for Science and Thought of the University of Bonn in Germany. He is also a team member in the KI.NRW flagship project “Zertifizierte KI” (Certified AI), which is founded Ministry of Economic Affairs, Industry, Climate Action and Energy of the state of North Rhine-Westphalia. He completed his PhD in theoretical philosophy at the University of Bonn. During his graduate studies he conducted research at the Universities of Chicago, Paris, Bonn, Heidelberg and Turin.
Katharina Kaesling is Tenure-Track Junior Professor of Civil Law, Intellectual Property, especially Patent Law, and Legal Issues of AI at the University of Dresden (TU), Germany. She is a Member of the Board of Directors of the Research Center for Legal Issues of New Technologies as well as Data Law (ForTech) in Bonn. From 2017 to 2022, she was Research Coordinator at the Käte Hamburger Center for Advanced Study in the Humanities “Law as Culture” at the University of Bonn, Germany. Her comparative law dissertation has won several awards, including the prize for the best dissertation of the law department of the University of Bonn. She holds a Ph.D. in law from the University of Bonn, a Master of Laws from the College of Europe (Bruges) as well as the First German Examination in Law (University of Bonn/ Higher Regional Court Cologne) and the Second State Examination in Law (Ministry of Justice of North Rhine-Westphalia).
Scott Robbins is a Post-Doctoral Research Fellow at Bonn University in Germany. Scott completed his PhD in the ethics of artificial intelligence at the Technical University of Delft (title: Machine Learning & Counter-Terrorism: ethics, efficacy, and meaningful human control). He has a B.Sc. in Computer Science from California State University, Chico and an M.Sc. in Ethics of Technology from the University of Twente. He is a founding member of the Foundation for Responsible Robotics and a member of the 4TU Centre for Ethics and Technology. Scott is skeptical of AI as a grand solution to societal problems and argues that AI should be boring.
Bibliographic Information
Book Title: Recommender Systems: Legal and Ethical Issues
Editors: Sergio Genovesi, Katharina Kaesling, Scott Robbins
Series Title: The International Library of Ethics, Law and Technology
DOI: https://doi.org/10.1007/978-3-031-34804-4
Publisher: Springer Cham
eBook Packages: Religion and Philosophy, Philosophy and Religion (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
Hardcover ISBN: 978-3-031-34803-7Published: 04 August 2023
Softcover ISBN: 978-3-031-34806-8Published: 04 August 2023
eBook ISBN: 978-3-031-34804-4Published: 03 August 2023
Series ISSN: 1875-0044
Series E-ISSN: 1875-0036
Edition Number: 1
Number of Pages: VI, 222
Number of Illustrations: 1 b/w illustrations
Topics: Engineering Ethics