AI & Society · 2020 · 503 citations · 34 references
ComputingData ScienceBusiness EthicsEthicsRecommender SystemsCollaborative FilteringEvaluation Of Recommender SystemsMulti-stakeholder RecommendationRecommendation EvaluationRecommendation SystemsTrust In RecommendationEthical EngagementEthics Of Recommendation SystemsFairness In Recommendation SystemsImpactsRecommender System GovernanceSystematic Literature ReviewTrust In Recommender SystemsTrustworthy Recommendation
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.
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Explaining collaborative filtering recommendations
Jonathan L. Herlocker, Joseph A. Konstan, John Riedl · 2000 · 1.7K citations
How AI can be a force for good
Mariarosaria Taddeo, Luciano Floridi · Science · 2018 · 649 citations