Complementing location-based social network data with mobility data: A pattern-based approach
Location-Based Social Networks can be profitably exploited to characterize citizens'
activities in urban environments. However, collecting LBSN is potentially challenging due to …
activities in urban environments. However, collecting LBSN is potentially challenging due to …
Enhancing individual fairness through propensity score matching
The central idea of individual fairness is based on an auspicious yet intuitive assertion:
similar individuals should be treated similarly. Nevertheless, the fulfillment of individual …
similar individuals should be treated similarly. Nevertheless, the fulfillment of individual …
A new framework to assess the individual fairness of probabilistic classifiers
Fairness in machine learning has become a global concern due to the predominance of ML
in automated decision-making systems. In comparison to group fairness, individual fairness …
in automated decision-making systems. In comparison to group fairness, individual fairness …
[HTML][HTML] Bias detection by using name disparity tables across protected groups
E Mishraky, AB Arie, Y Horesh, SM Lador - Journal of Responsible …, 2022 - Elsevier
As AI-based models take an increasingly central role in our lives, so does the concern for
fairness. In recent years, mounting evidence reveals how vulnerable AI models are to bias …
fairness. In recent years, mounting evidence reveals how vulnerable AI models are to bias …