Recommender Systems and their Ethical Challenges

20 Pages Posted: 24 May 2019

See all articles by Silvia Milano

Silvia Milano

University of Oxford - Oxford Internet Institute

Mariarosaria Taddeo

University of Oxford - Oxford Internet Institute

Luciano Floridi

Yale University - Digital Ethics Center; University of Bologna- Department of Legal Studies

Date Written: April 26, 2019

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.

Keywords: Algorithms, Artificial Intelligence, Digital Ethics, Ethical Trade-offs, Ethics of Recommendation, Machine Learning, Recommender Systems

Suggested Citation

Milano, Silvia and Taddeo, Mariarosaria and Floridi, Luciano, Recommender Systems and their Ethical Challenges (April 26, 2019). Available at SSRN: https://ssrn.com/abstract=3378581 or http://dx.doi.org/10.2139/ssrn.3378581

Silvia Milano (Contact Author)

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Mariarosaria Taddeo

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Luciano Floridi

Yale University - Digital Ethics Center ( email )

85 Trumbull Street
New Haven, CT CT 06511
United States
2034326473 (Phone)

University of Bologna- Department of Legal Studies ( email )

Via Zamboni 22
Bologna, Bo 40100
Italy

HOME PAGE: http://www.unibo.it/sitoweb/luciano.floridi/en

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