Contents
1 INTRODUCTION
2 OVERVIEW
2.1 Concept and Terminology
2.2 Protected Demographic Attributes
2.3 Fairness Criterion
2.4 Categorization of Bias Metrics and Mitigation Methods
3 BIAS IN UNIMODAL MODELS
3.1 Bias in Language
3.2 Bias in Vision
4 BIAS IN VISION & LANGUAGE MODELING
4.1 Challenges in Extending to VL Bias
4.2 Vision & Language Architecture Overview
4.3 Bias Evaluation
4.4 Bias Mitigation
4.5 Future Direction
5 CONCLUSION