It's not just a training issue. Lighter (color) tones reflect. Dark tones absorb. There have been lots of issues with cameras or even just sensors having issues with people having dark skin tones because the lower reflectivity/contrast of dark tones. 3D scanners - even current models - have similar issues with objects having black parts for similar reasons. Training on more models can help, but there's still an overall technical difficulty to overcome as well (which is also a good reason that using facial recognition in this manner is just bullshit, period).

I'm interested what dataset they're using because simply adding more black people to the training set seems like a pretty straightforward fix.

Why not expose pictures longer to get better features of darker skinned people and less accurate of lighter skinned people, leading to more false arrests of lighter skinned people?

Doesn't the fact that a technology is fundamentally discriminatory mean we should question the use of that technology? Not just shrug our shoulders and say too bad?

yes

If white, politely ask