3 papers
cs.SE2025
Exploring Fairness Interventions in Open Source Projects
Sadia Afrin Mim, Fatema Tuz Zohra, Justin Smith +1
The deployment of biased machine learning (ML) models has resulted in adverse effects in crucial sectors such as criminal justice and healthcare. To address these challenges, a div…
cs.SE2025
What Makes a Fairness Tool Project Sustainable in Open Source?
Sadia Afrin Mim, Fatemeh Vares, Andrew Meenly +1
As society becomes increasingly reliant on artificial intelligence, the need to mitigate risk and harm is paramount. In response, researchers and practitioners have developed tools…
cs.LG2025
Causality-Driven Neural Network Repair: Challenges and Opportunities
Fatemeh Vares, Brittany Johnson
Deep Neural Networks (DNNs) often rely on statistical correlations rather than causal reasoning, limiting their robustness and interpretability. While testing methods can identify…