In November 2020, HAI published a report, “Evaluating Facial Recognition Technology”. I think you talked a bit about this in terms of the clarity of the images.
One of the concerns raised is that “FRT vendors may train their images with well-lit, clear images and with proper software usage from machine learning professionals”, but when deployed by law enforcement, FRTs rely on images produced by body cameras and other sources in “suboptimal” conditions.
Is this a problem that can be corrected? With respect to body cameras and the law enforcement technology that they're using, how can that be improved?