Work

FAccTRec 2024: The 7th Workshop on Responsible Recommendation

Year: 2024

Type: conference-paper

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.

Source: ACM Conference on Recommender Systems (RecSys)

DOI: 10.1145/3640457.3687111

Authors: Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen

Institutions: Drexel University, Microsoft (United States), Utrecht University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

Funder: Japan Society for the Promotion of Science

Award: Fairness-aware Machine learning by Modifying a Causal Graph