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They didn't say "they all look alike", they said that white faces have more contrast so are easier to differentiate even with a naïve CV algorithm. It's one more source of systemic bias in the ML literature, especially given the comparative scarcity of source data from non-majority groups.



> It's one more source of systemic bias in the ML literature, especially given the comparative scarcity of source data from non-majority groups.

centimeter's posts in that thread directly reject your proffered line of thought:

  > your training data does not have enough people with dark skin or African American face features
  This isn’t the issue - the issue is lower variance across black faces in any basis.




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