Journal article

Ethical aspects of multi-stakeholder recommendation systems

Abstract:: In this article we analyze the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: Who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorized, methodologically, according to neoclassical welfare economics. We consider and reply to some methodological objections to MRSs on this basis, concluding that the multistakeholder approach offers the resources to understand the normative social dimension of RSs.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Milano, S., Taddeo, M., & Floridi, L. (2020). Ethical aspects of multi-stakeholder recommendation systems. Information Society, 37(1), 35–45.

MLA Style

Milano, S., et al. “Ethical Aspects of Multi-Stakeholder Recommendation Systems.” Information Society, vol. 37, no. 1, Taylor and Francis, 2020, pp. 35–45.

Chicago Style

Milano, S, M Taddeo, and L Floridi. 2020. “Ethical Aspects of Multi-Stakeholder Recommendation Systems.” Information Society 37 (1): 35–45.
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Files:: AAM SMilano et al InformationSociety Oct2020 37_1_35to45.pdf

(Preview, Accepted manuscript, 250.6KB, Terms of use)

Publisher copy:: 10.1080/01972243.2020.1832636

Authors

+ Milano, S More by this author

Institution:: University of Oxford
Division:: HUMS
Department:: Philosophy Faculty
Role:: Author

+ Taddeo, M More by this author

Institution:: University of Oxford
Division:: SSD
Sub department:: Oxford Internet Institute
Role:: Author
ORCID:: 0000-0002-1181-649X

+ Floridi, L More by this author

Institution:: University of Oxford
Division:: SSD
Sub department:: Oxford Internet Institute
Role:: Author
ORCID:: 0000-0002-5444-2280

Publisher:: Taylor and Francis
Journal:: Information Society More from this journal
Volume:: 37
Issue:: 1
Pages:: 35-45
Publication date:: 2020-10-22
Acceptance date:: 2020-09-24
DOI:: 10.1080/01972243.2020.1832636
EISSN:: 1087-6537
ISSN:: 0197-2243

Language:: English
Keywords:: recommender systems ontology

recommender systems and welfare

multistakeholder recommendation

social aspects of recommendation

digital ethics

recommender systems

artificial intelligence

FFR
Pubs id:: 1087241
Local pid:: pubs:1087241
Deposit date:: 2021-05-13

Terms of use

Copyright holder:: S Milano et al.
Copyright date:: 2021
Rights statement:: © 2020 The Author(s). Published with license by Taylor and Francis Group, LLC
Notes:: This is the accepted manuscript version of the article. The final published version is available from Taylor and Francis at https://doi.org/10.1080/01972243.2020.1832636

Licence:: CC Attribution-NonCommercial (CC BY-NC)

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