Ioana Baldini

Your fairness may vary: Group fairness of pretrained language models in toxic text classification.

2021 · arXiv (Cornell University)

We study the performance-fairness trade-off in more than a dozen fine-tuned LMs for toxic text classification. We empirically show that no blanket statement can be made with respect to the bias of large versus regular …

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations

2022

Clinical notes are becoming an increasingly important data source for machine learning (ML) applications in healthcare. Prior research has shown that deploying ML models can perpetuate existing biases against racial minorities, as bias can be …