In this post, we give an introduction to bias in machine learning, and we discuss our new research for debiasing pretrained neural networks (i.e., post-hoc debiasing). ArXiv paper: https://arxiv.org/abs/2006.08564 Source code…
In the last decade or so, there has been a growing number of applications of machine learning in domains that have a significant and direct impact on human life. In these domains, it is common to find that machine learning models end up learning societal biases and…