Conference proceeding
FAccTRec 2024: The 7th Workshop on Responsible Recommendation
Proceedings of the 18th ACM Conference on Recommender Systems, pp 1200-1201
08 Oct 2024
Abstract
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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Details
- Title
- FAccTRec 2024: The 7th Workshop on Responsible Recommendation
- Creators
- Michael D. Ekstrand - Information Science, Drexel University, USAToshihiro Kamishima - Independent Researcher, JapanAmifa Raj - Computer Science, Microsoft, USAKarlijn Dinnissen - Utrecht University
- Contributors
- Tommaso Di Noia (Editor)Pasquale Lops (Editor)Thorsten Joachims (Editor)Katrien Verbert (Editor)Pablo Castells (Editor)Zhenhua Dong (Editor)Ben London (Editor)
- Publication Details
- Proceedings of the 18th ACM Conference on Recommender Systems, pp 1200-1201
- Conference
- 18th ACM Conference on Recommender Systems, 18th
- Series
- ACM Conferences
- Publisher
- ACM; NEW YORK
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001336908500171
- Scopus ID
- 2-s2.0-85210506458
- Other Identifier
- 991021910599804721
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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