TY - JOUR
T1 - Report on NORMalize
T2 - 1st Workshop on the Normative Design and Evaluation of Recommender Systems, NORMalize 2023
AU - Vrijenhoek, Sanne
AU - Michiels, Lien
AU - Kruse, Johannes
AU - Starke, Alain
AU - Guerrero, Jordi Viader
AU - Tintarev, Nava
N1 - Funding Information:
We would like to thank the participants and authors of accepted contributions for their valuable inputs to the workshop, our program committee for their thoughtful reviews, as well as the RecSys’23 organisers for their support in the organisation of NORMalize. Finally, we would like to thank our employers and funding bodies. Sanne Vrijenhoek’s contribution to this research is supported by the AI, Media and Democracy Lab. Lien Michiels’ contribution to this research was supported by the Research Foundation Flanders ?FWO) under grant number S006323N and the Flanders AI research program. Johannes Kruse’s contribution to this research is supported by the Innovation Foundation Denmark under grant number 1044-00058B and Platform Intelligence in News under project number 0175-00014B. Alain Starke’s contribution was in part supported by the Research Council of Norway with funding to MediaFutures: Research Centre for Responsible Media Technology and Innovation, through the Centre for Research-based Innovation scheme, project number 309339. Jordi Viader Guerrero’s contribution is supported by the TU Delft AI Labs Initiative and the AI DeMoS Lab. Nava Tintarev’s contribution is supported by the project ROBUST: Trustworthy AI-based Systems for Sustainable Growth with project number KICH3.LTP.20.006, which is ?partly) financed by the Dutch Research Council ?NWO), RTL, and the Dutch Ministry of Economic Affairs and Climate Policy ?EZK) under the program LTP KIC 2020-2023. All content represents the opinion of the authors, which is not necessarily shared or endorsed by their respective employers and/or sponsors.
Publisher Copyright:
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
PY - 2023
Y1 - 2023
N2 - 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 first workshop, co-located with ACM RecSys'23 in Singapore.
AB - 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 first workshop, co-located with ACM RecSys'23 in Singapore.
KW - normative design
KW - normative thinking
KW - norms
KW - recommender systems
KW - value-sensitive design
KW - values
M3 - Conference article in journal
SN - 1613-0073
VL - 3639
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 19 September 2023 through 19 September 2023
ER -