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I wonder how this affects their system. If you have 10 years of a changing facial profile on someone, is their algorithm smart enough to drop older items? Or do
by b_tterc_p 7y ago
I wonder how this affects their system. If you have 10 years of a changing facial profile on someone, is their algorithm smart enough to drop older items? Or do you, in your 20s, look like your ten year old brother?
- TuringNYC 7y agoI'd imagine the problems are far more fundamental -- do they work at all given the typically poorly constructed training sets. And also what is their FP/FN rates for subsets of the population -- do they work as well/poorly for everyone? The problem I see with many of these systems are -- they are trained on one population and used for inference on a very different distribution (minorities.) OR their accuracy is only high on the overall population, not universally accurate across all subsets. When those in charge, those with political power, etc (usually non-minorities) "see" the performance of the system, they experience it in their own context where it works. They don't feel the pain from the experience of the sub-populations where false positives/negatives are larger.
- modriano 7y agoMy guess is that these facial rec systems aren't very sophisticated. I suspect that they just compare a sample image with their database of images, so as people age, they just look less like their image in the database, so the similarity scores will simply decrease as the data grows more stale.