Research Agenda of Ethical Recommender Systems based on Explainable AI

In the digital era, recommender systems (RS) have become an integral part of our daily interactions, exerting a significant impact on users and society. However, this also raises ethical challenges related to RS that should be considered. Addressing these challenges requires the application of expla...

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Bibliographic Details
Published in:Procedia computer science 2024, Vol.238, p.328-335
Main Authors: Guttmann, Mike, Ge, Mouzhi
Format: Article
Language:English
Subjects:
Ethics
Explainable artificial intelligence
Explanations
Human-computer interaction
Recommender systems
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Summary:In the digital era, recommender systems (RS) have become an integral part of our daily interactions, exerting a significant impact on users and society. However, this also raises ethical challenges related to RS that should be considered. Addressing these challenges requires the application of explainable artificial intelligence (XAI) models to make RS more understandable. Based on the current state-of-the-art literature, this paper aims to provide a comprehensive overview of XAI for RS and its ethical implications, with the aim of proposing a research agenda for ethical RS based on XAI. The findings of the literature review show that neural network-based RS have received much attention in terms of offering explanations, while there is a research gap in explaining context-based RS and in evaluating explanations. In addition, a set of ethical challenges for RS are discussed by exploring how explanations for recommendations can contribute to the ethical use of RS.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2024.06.032