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Are Commercial Face Detection Models as Biased as Academic Models?. (arXiv:2201.10047v1 [cs.CV])
Jan. 26, 2022, 2:11 a.m. | Samuel Dooley, George Z. Wei, Tom Goldstein, John P. Dickerson
cs.LG updates on arXiv.org arxiv.org
As facial recognition systems are deployed more widely, scholars and
activists have studied their biases and harms. Audits are commonly used to
accomplish this and compare the algorithmic facial recognition systems'
performance against datasets with various metadata labels about the subjects of
the images. Seminal works have found discrepancies in performance by gender
expression, age, perceived race, skin type, etc. These studies and audits often
examine algorithms which fall into two categories: academic models or
commercial models. We present a …
More from arxiv.org / cs.LG updates on arXiv.org
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