English

About Face: A Survey of Facial Recognition Evaluation

Computer Vision and Pattern Recognition 2021-02-02 v1 Artificial Intelligence

Abstract

We survey over 100 face datasets constructed between 1976 to 2019 of 145 million images of over 17 million subjects from a range of sources, demographics and conditions. Our historical survey reveals that these datasets are contextually informed, shaped by changes in political motivations, technological capability and current norms. We discuss how such influences mask specific practices (some of which may actually be harmful or otherwise problematic) and make a case for the explicit communication of such details in order to establish a more grounded understanding of the technology's function in the real world.

Keywords

Cite

@article{arxiv.2102.00813,
  title  = {About Face: A Survey of Facial Recognition Evaluation},
  author = {Inioluwa Deborah Raji and Genevieve Fried},
  journal= {arXiv preprint arXiv:2102.00813},
  year   = {2021}
}

Comments

Presented at AAAI 2020 Workshop on AI Evaluation