Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling

Purificato, Erasmo; Boratto, Ludovico; Luca, Ernesto William De

doi:10.1145/3511808.3557584

Cited by 10 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Users and developers of recommender systems are becoming increasingly aware of the possible societal impact of their systems [5]. As 'beyond-accuracy' metrics are becoming more common in recommender research, much attention has been given to methods related to notions of fairness, such as statistical parity or equality of opportunity in the design or evaluation of recommender systems [7,8]. However, many values could be considered in the development and goal of a recommender systems, of which fairness towards the end-users of the system is but one example [14].…”

Section: Introductionmentioning

confidence: 99%

NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems

Vrijenhoek,

Michiels,

Kruse

et al. 2023

Proceedings of the 17th ACM Conference on Recommender Systems

View full text Add to dashboard Cite

Recommender systems are among the most widely used applications of artificial intelligence. Since they are so widely used, it is important that we, as practitioners and researchers, think about the impact these systems may have on users, society, and other stakeholders. To that effect, the NORMalize workshop seeks to introduce normative thinking, to consider the norms and values that underpin recommender systems in the recommender systems community. The objective of NORMalize is to bring together a growing community of researchers and practitioners across disciplines who want to think about the norms and values that should be considered in the design and evaluation of recommender systems; and further educate them on how to reflect on, prioritise, and operationalise such norms and values. NORMalize offers a comprehensive program designed to cater to both the norm-curious and the norm-active. The morning session is on-site and features a lecture on normative thinking and an interactive workshop. The afternoon is a hybrid program focused on the dissemination of results. NORMalize publishes proceedings, as well as a technical report that summarises the outcomes of the interactive morning session. CCS Concepts• Information systems → Recommender systems; • Social and professional topics → Systems analysis and design.

show abstract