4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CY2024★ 4 cited
Articulation Work and Tinkering for Fairness in Machine Learning
Miriam Fahimi, Mayra Russo, Kristen M. Scott +3
The field of fair AI aims to counter biased algorithms through computational modelling. However, it faces increasing criticism for perpetuating the use of overly technical and redu…
cs.AI2024★ 2 cited
Leveraging Ontologies to Document Bias in Data
Mayra Russo, Maria-Esther Vidal
Machine Learning (ML) systems are capable of reproducing and often amplifying undesired biases. This puts emphasis on the importance of operating under practices that enable the st…