Promoting Gender Fair Resume Screening Using Gender-Weighted Sampling
Our research entails a thorough investigation into gender bias within the classification of
occupations based on resume data, a task imbued with considerable significance for …
occupations based on resume data, a task imbued with considerable significance for …
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction
JD Pascual-Triana, A Fernández, P Novais… - arxiv preprint arxiv …, 2024 - arxiv.org
One of the key issues regarding classification problems in Trustworthy Artificial Intelligence
is ensuring Fairness in the prediction of different classes when protected (sensitive) features …
is ensuring Fairness in the prediction of different classes when protected (sensitive) features …
[PDF][PDF] CONTRAINTES EN EQUITÉ ALGORITHMIQUE ET JEUX DE TARIFICATION
P RATZ - 2024 - archipel.uqam.ca
A look at any search-term popularity index reveals that since the mid 2010's, the term
Machine Learning (ML) has grown steadily more popular. Throughout the same period …
Machine Learning (ML) has grown steadily more popular. Throughout the same period …
[PDF][PDF] A.(2024). Mitigating Bias in Automated Lending Systems: A Data Imbalance Approach
M Abdelrahim, S Hong, T Kwembe - Proceedings of International …, 2024 - istes.org
Artificial Intelligence (AI) algorithms are playing an increasing role in automated lending
decisionmaking systems as promising solutions to reduce the cost of credit and increase …
decisionmaking systems as promising solutions to reduce the cost of credit and increase …