Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition

Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young. Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. In Marion Fourcade, Benjamin Kuipers, Seth Lazar, Deirdre K. Mulligan, editors, AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021. pages 895-904, ACM, 2021. [doi]

@inproceedings{RazBGTKDHKY21,
  title = {Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition},
  author = {Daniella Raz and Corinne Bintz and Vivian Guetler and Aaron Tam and Michael A. Katell and Dharma Dailey and Bernease Herman and P. M. Krafft and Meg Young},
  year = {2021},
  doi = {10.1145/3461702.3462627},
  url = {https://doi.org/10.1145/3461702.3462627},
  researchr = {https://researchr.org/publication/RazBGTKDHKY21},
  cites = {0},
  citedby = {0},
  pages = {895-904},
  booktitle = {AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021},
  editor = {Marion Fourcade and Benjamin Kuipers and Seth Lazar and Deirdre K. Mulligan},
  publisher = {ACM},
  isbn = {978-1-4503-8473-5},
}