Recommender Systems: Legal and Ethical Issues
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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | The International Library of Ethics, Law and Technology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1: Introduction: Understanding and Regulating Al-Powered Recommender systems
- Part I: Fairness and Transparency
- Chapter 2: Recommender Systems and Discrimination
- Chapter 3: From Algoritmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation
- Chapter 4: Black Hole instead of Black Box? - The Double Opaqueness of Recommender Systems on Gaming Platforms and its Legal Implications
- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems
- Part II: Manipulation and Personal Autonomy
- Chapter 6: Recommender Systems, Manipulation and Private Autonomy - How European civil law regulates and should regulate recommender systems for the benefit of private autonomy
- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy
- Chapter 8: Recommending Ourselvesto Death: values in the age of algorithms
- Part III: Designing and Evaluating Recommender Systems
- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System
- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan
- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation