Inclusive Ethical Design for Recommender Systems
September 13, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Susan Leavy
arXiv ID
2209.13021
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.CY
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Recommender systems are becoming increasingly central as mediators of information with the potential to profoundly influence societal opinion. While approaches are being developed to ensure these systems are designed in a responsible way, adolescents in particular, represent a potentially vulnerable user group requiring explicit consideration. This is especially important given the nature of their access and use of recommender systems but also their role as providers of content. This paper proposes core principles for the ethical design of recommender systems and evaluates whether current approaches to ensuring adherence to these principles are sufficiently inclusive of the particular needs and potential vulnerabilities of adolescent users.
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