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FAccTRec 2024: The 7th Workshop on Responsible Recommendation
Conference proceeding   Open access

FAccTRec 2024: The 7th Workshop on Responsible Recommendation

Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj and Karlijn Dinnissen
Proceedings of the 18th ACM Conference on Recommender Systems, pp 1200-1201
08 Oct 2024
url
https://doi.org/10.1145/3640457.3687111View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Human-centered computing Human-centered computing -- Collaborative and social computing Human-centered computing -- Collaborative and social computing -- Collaborative and social computing theory, concepts and paradigms Human-centered computing -- Collaborative and social computing -- Collaborative and social computing theory, concepts and paradigms -- Collaborative filtering Human-centered computing -- Collaborative and social computing -- Collaborative and social computing theory, concepts and paradigms -- Social recommendation Information systems Information systems -- Information retrieval Information systems -- Information retrieval -- Retrieval tasks and goals Information systems -- Information retrieval -- Retrieval tasks and goals -- Recommender systems Information systems -- Information systems applications Information systems -- Information systems applications -- Data mining Information systems -- Information systems applications -- Data mining -- Collaborative filtering Information systems -- World Wide Web Information systems -- World Wide Web -- Web searching and information discovery Information systems -- World Wide Web -- Web searching and information discovery -- Social recommendation Social and professional topics Social and professional topics -- Professional topics Social and professional topics -- Professional topics -- Computing profession Social and professional topics -- Professional topics -- Computing profession -- Codes of ethics
The 7th Workshop on Responsible Recommendation (FAccTRec 2024) was held in conjunction with the 18th ACM Conference on Recommender Systems on October, 2024 at Bari, Italy, in a hybrid format. This workshop brought together researchers and practitioners to discuss several topics under the banner of social responsibility in recommender systems: fairness, accountability, transparency, privacy, and other ethical and social concerns. It served to advance research and discussion of these topics in the recommender systems space, and incubate ideas for future development and refinement. For 2024, the workshop highlights i) the possible tensions between the factors related to social responsibility, and ii) the challenges as a result of AI-related regulations in the European Union.

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Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Computer Science, Theory & Methods
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