Computer Science

On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare

S. Mittal, K. Thakral, et al.

This study highlights the critical need for responsible machine learning datasets, focusing on fairness, privacy, and compliance with regulations. Conducted by Surbhi Mittal, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton Ferrer, and Tal Hassner, it uncovers widespread issues within computer vision datasets, especially in biometrics and healthcare, and proposes a new evaluation rubric.