Report on NORMalize: The Second Workshop on the Normative Design and Evaluation of Recommender Systems

Alain Starke*, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev

*Corresponding author for this work

Research output: Contribution to journalConference article in journalAcademicpeer-review

Abstract

Recommender systems are among the most widely used applications of artificial intelligence. Because of their widespread use, it is important that practitioners and researchers think about the impact they 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. This document is a report on the second NORMalize workshop, co-located with ACM RecSys’24 in Bari, Italy.
Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3898
Publication statusPublished - 2024
Event2nd Workshop on the Normative Design and Evaluation of Recommender Systems, NORMalize 2024 - Bari, Italy
Duration: 18 Oct 202418 Oct 2024

Keywords

  • normative design
  • normative thinking
  • norms
  • recommender systems
  • value-sensitive design
  • values

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