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NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems

  • Alain D. Starke*
  • , Sanne Vrijenhoek
  • , Lien Michiels
  • , Johannes Kruse
  • , Nava Tintarev
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Abstract

Recommender systems are among the most widely used applications of artificial intelligence. Their use can have far-reaching consequences for users, stakeholders, and society at large. In this second edition of the NORMalize workshop, we once again seek to advance the research agenda of normative thinking, considering the norms and values that underpin recommender systems, as well as to introduce the concept to a broader audience. We aim 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 to further educate them on how to reflect on, prioritise, and operationalise such norms and values. NORMalize 2024 is a half-day workshop consisting of a combination of paper presentations and an interactive session, building upon its successful full-day run last year at RecSys'23.
Original languageEnglish
Title of host publicationRecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery (ACM)
Pages1242-1244
Number of pages3
ISBN (Print)9798400705052
DOIs
Publication statusPublished - 8 Oct 2024
Event18h ACM Conference on Recommender Systems (RecSys) - Politecnico di Bari at University Campus, Bari, Italy
Duration: 14 Oct 202418 Oct 2024
Conference number: 18th
https://recsys.acm.org/recsys24/

Conference

Conference18h ACM Conference on Recommender Systems (RecSys)
Abbreviated titleRecSys24
Country/TerritoryItaly
CityBari
Period14/10/2418/10/24
Internet address

Keywords

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

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