FAccTRec 2024: The 7th Workshop on Responsible Recommendation

被引：0

作者：

Ekstrand, Michael D. ^{[1
]}

Kamishima, Toshihiro

Raj, Amifa ^{[2
]}

Dinnissen, Karlijn ^{[3
]}

机构：

[1] Drexel Univ, Dept Informat Sci, Philadelphia, PA 19104 USA

[2] Microsoft, Redmond, WA USA

[3] Univ Utrecht, Dept Informat & Comp Sci, Utrecht, Netherlands

来源：

PROCEEDINGS OF THE EIGHTEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2024 | 2024年

关键词：

recommender system; fairness; transparency; ethics;

D O I：

10.1145/3640457.3687111

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1200 / 1201

页数：2

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