Anatomizing Bias in Facial Analysis


  • Richa Singh IIT Jodhpur
  • Puspita Majumdar IIT Jodhpur, IIIT-Delhi
  • Surbhi Mittal IIT Jodhpur
  • Mayank Vatsa IIT Jodhpur



Face Analysis, Bias And Fairness, Face Recognition


Existing facial analysis systems have been shown to yield biased results against certain demographic subgroups. Due to its impact on society, it has become imperative to ensure that these systems do not discriminate based on gender, identity, or skin tone of individuals. This has led to research in the identification and mitigation of bias in AI systems. In this paper, we encapsulate bias detection/estimation and mitigation algorithms for facial analysis. Our main contributions include a systematic review of algorithms proposed for understanding bias, along with a taxonomy and extensive overview of existing bias mitigation algorithms. We also discuss open challenges in the field of biased facial analysis.




How to Cite

Singh, R., Majumdar, P., Mittal, S., & Vatsa, M. (2022). Anatomizing Bias in Facial Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12351-12358.