On responsible machine learning datasets emphasizing fairness, | ResearchBunny

Index

Abstract

This study emphasizes the importance of responsible machine learning datasets by focusing on fairness, privacy, and regulatory compliance. A large audit of computer vision datasets, particularly in biometrics and healthcare, reveals widespread issues in these areas. The authors propose a rubric for evaluating dataset responsibility and, after analyzing 60 datasets, demonstrate the urgent need for improved dataset creation methodologies to address fairness-privacy paradoxes and comply with global data protection legislation.

Publisher

Nature Machine Intelligence

Published On

Aug 12, 2024

Authors

Surbhi Mittal, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton Ferrer, Tal Hassner

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