Recommender systems and their ethical challenges
Silvia Milano, Mariarosaria Taddeo, Luciano Floridi
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.
Topics & Concepts
Recommender systemVariety (cybernetics)Taxonomy (biology)Computer scienceData scienceEthical issuesEngineering ethicsKnowledge managementWorld Wide WebEngineeringArtificial intelligenceBiologyBotanyPrivacy-Preserving Technologies in DataEthics and Social Impacts of AIRecommender Systems and Techniques