Many issues aside, is everyone comfortable with the accuracy of facial recognition?
I've not updated my knowledge recently but there were some concerns about serious mis-identifications a while ago. There are reportedly known problems:
Research shows that facial recognition discriminates against women and people of colour.
https://bigbrotherwatch.org.uk/campaigns/stop-facial-recognition/
https://www.shlegal.com/insights/big-brother-is-watching-you-facial-recognition-in-the-uk
These and other tests can reveal disturbing racial disparities. In their own groundbreaking research, computer scientists Dr. Joy Buolamwini and Dr. Timnit Gebru tested several prominent gender classification algorithms, and found that those systems were less likely to accurately classify the faces of women with darker complexions. Following that, the ACLU of Northern California performed its own test of Amazon’s facial recognition software, which falsely matched the faces of 28 members of Congress with faces in a mugshot database, with Congressmembers of color being misidentified at higher rates. Since then, additional testing by NIST and academic researchers indicates that these problems persist.
While testing of facial recognition for accuracy and fairness across race, sex, and other characteristics is critical, the tests do not take full account of practical realities. There is no laboratory test that represents the conditions and reality of how police use face recognition in real world-scenarios. For one, testing labs are not going to have access to the exact “matching database,” the particular digital library of faces on mugshots, licenses, and surveillance photos, that police in a specific community search through when they operate face recognition. And tests cannot account for the full range of low-quality images from surveillance cameras (and truly dubious sources) that police feed into these systems, or the trouble police have when visually reviewing and choosing from a set of possible matches produced by the technology.
https://www.aclu.org/news/privacy-technology/when-it-comes-to-facial-recognition-there-is-no-such-thing-as-a-magic-number