English

Inclusive Ethical Design for Recommender Systems

Information Retrieval 2022-09-28 v1 Artificial Intelligence Computers and Society

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.

Keywords

Cite

@article{arxiv.2209.13021,
  title  = {Inclusive Ethical Design for Recommender Systems},
  author = {Susan Leavy},
  journal= {arXiv preprint arXiv:2209.13021},
  year   = {2022}
}

Comments

3 pages

R2 v1 2026-06-28T02:09:08.741Z