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  5. Inclusive Ethical Design for Recommender Systems
 
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Inclusive Ethical Design for Recommender Systems

Author(s)
Leavy, Susan  
Uri
http://hdl.handle.net/10197/30858
Date Issued
2022-09-23
Date Available
2025-12-15T14:34:02Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Subjects

Recommender systems

Trustworthy AI

Ethical design

Web versions
https://facctrec.github.io/facctrec2022/
Language
English
Status of Item
Peer reviewed
Conference Details
FAccTRec 2022: The 5th Workshop on Responsible Recommendation, Virtual Event, 23 September 2022
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
File(s)
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Name

InclusiveEthicalDesignforRecommenderSystems_Leavy_FAccTrec2022.pdf

Size

383.22 KB

Format

Adobe PDF

Checksum (MD5)

a0e0236cf74e3044674d3d18fa45d7c6

Owning collection
Information and Communication Studies Research Collection
Mapped collections
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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