Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews

Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, Louis Tay, Sang Eun Woo, Sidney K. D'Mello. Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews. In Zakia Hammal, Carlos Busso, Catherine Pelachaud, Sharon L. Oviatt, Albert Ali Salah, Guoying Zhao, editors, ICMI '21: International Conference on Multimodal Interaction, Montréal, QC, Canada, October 18-22, 2021. pages 268-277, ACM, 2021. [doi]

@inproceedings{BoothHSTWD21,
  title = {Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews},
  author = {Brandon M. Booth and Louis Hickman and Shree Krishna Subburaj and Louis Tay and Sang Eun Woo and Sidney K. D'Mello},
  year = {2021},
  doi = {10.1145/3462244.3479897},
  url = {https://doi.org/10.1145/3462244.3479897},
  researchr = {https://researchr.org/publication/BoothHSTWD21},
  cites = {0},
  citedby = {0},
  pages = {268-277},
  booktitle = {ICMI '21: International Conference on Multimodal Interaction, Montréal, QC, Canada, October 18-22, 2021},
  editor = {Zakia Hammal and Carlos Busso and Catherine Pelachaud and Sharon L. Oviatt and Albert Ali Salah and Guoying Zhao},
  publisher = {ACM},
  isbn = {978-1-4503-8481-0},
}