3 Common Strategies to Measure Bias in NLP Models (2022)

Strategies of quantifying bias in language models for responsible AI

In the past few years, the topic of building FAT (Fair, Auditable, and Transparent) Machine Learning has blossomed from a fringe topic to one dominating the conference scene.

This is particularly the case for Natural Language Processing, where the impact of biased ML is quite obvious and pronounced.