AI fairness in data management and analytics: A review on challenges, methodologies and applications
P Chen, L Wu, L Wang - Applied Sciences, 2023 - mdpi.com
This article provides a comprehensive overview of the fairness issues in artificial intelligence
(AI) systems, delving into its background, definition, and development process. The article …
(AI) systems, delving into its background, definition, and development process. The article …
How fair is machine learning in credit lending?
Abstract Machine learning models are widely used to decide whether to accept or reject
credit loan applications. However, similarly to human‐based decisions, they may …
credit loan applications. However, similarly to human‐based decisions, they may …
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 …
Investigating oversampling techniques for fair machine learning models
S Rančić, S Radovanović, B Delibašić - Decision Support Systems XI …, 2021 - Springer
Applying machine learning in real-world applications may have various implications on
companies, but individuals as well. Besides obtaining lower costs, faster time to decision …
companies, but individuals as well. Besides obtaining lower costs, faster time to decision …
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 …