articleAI & SocietyFeb 27, 2020HYBRID OA

Recommender systems and their ethical challenges

University of Oxford · Turing Institute · +1 more institution

Indexed incrossref

Abstract

Abstract This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system.

Citation impact

497
total citations
FWCI
38.63
Percentile
100%
References
44
Citations per year

Authors

3

Topics & keywords

Keywords
  • Recommender system
  • Variety (cybernetics)
  • Taxonomy (biology)
  • Computer science
  • Data science
  • Ethical issues
  • Engineering ethics
  • Knowledge management
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