Published June 22, 2021
| Version v1
Conference paper
Open
FairUMAP 2021: The 4th Workshop on Fairness in User Modeling, Adaptation and Personalization
Description
FairUMAP 2021 followed a peer review process for paper acceptance. At least two program committee members reviewed each submission. Five papers were accepted for presentation at the online event. The contributed papers cover a wide range of the FairUMAP scope: Ahnert et al. suggested the FairCeptron framework (available at GITHUB), an approach for studying perceptions of fairness in algorithmic decision making such as in ranking or classification that supports (i) studying human perceptions of fairness and (ii) comparing these human perceptions with measures of algorithmic fairness.