Watch Netflix' Coded Bias if you want a deeper understanding of the political motivations here - and they really are almost purely political.
I'm not for an instant saying that there aren't any implications in terms of how the technology can and should be deployed - but some people just want to be angry and offended despite a lack of understanding of what they're actually on about.
Facial recognition struggles to accurately identify black people and women.
The difficulties around both are probably around edge and contour detection:
Black people have darker skin and less angular features - the shadows on their faces are not only harder to see (due to blending with skin-tone), but softer to begin with.
Women routinely leave the home wearing enough makeup to not only look less like themselves, but often look more like other women.
There are ways to mitigate these issues to some extent: cameras that work better in low light and codecs that do a better job of encoding relative rather than absolute light levels will do a better job of preserving the information in the faces of people with darker complexions.
As far as makeup is concerned, it can misrepresent the shape of a face - if you only have one angle.
Treating the face shape as invariant as Δt -> 0 and running on video (even better with multiple synchronised cameras) will allow for topography extraction despite dealing with someone deliberately misrepresenting what they look like.
That's all very true but any person using their own eyesight would have the same issues. This should be used as a narrowing of a search, same as Google's algorithm. Google doesn't give you the answers to your questions, they hopefully point you in the right direction, but sometimes don't give you a clear answer at all, but in clear and obvious cases it does match. Google also has programmed biases, but we all accept Google is one of the best tools.
I'm not for an instant saying that there aren't any implications in terms of how the technology can and should be deployed - but some people just want to be angry and offended despite a lack of understanding of what they're actually on about.
Facial recognition struggles to accurately identify black people and women.
The difficulties around both are probably around edge and contour detection:
Black people have darker skin and less angular features - the shadows on their faces are not only harder to see (due to blending with skin-tone), but softer to begin with.
Women routinely leave the home wearing enough makeup to not only look less like themselves, but often look more like other women.
There are ways to mitigate these issues to some extent: cameras that work better in low light and codecs that do a better job of encoding relative rather than absolute light levels will do a better job of preserving the information in the faces of people with darker complexions.
As far as makeup is concerned, it can misrepresent the shape of a face - if you only have one angle.
Treating the face shape as invariant as Δt -> 0 and running on video (even better with multiple synchronised cameras) will allow for topography extraction despite dealing with someone deliberately misrepresenting what they look like.