Biases introduced into the system by developers become amplified when the systems attempt to match faces to stored photos. This has been a problem with facial recognition tech for years now. That didn't really answer the questions raised by this experiment - especially questions about the tech's disproportionate selection of minorities as potential perps. Amazon's response was: you're using the software wrong. Last year, members of Congress started demanding answers from Amazon after its "Rekogition" tech said 28 lawmakers were criminals. There are a handful of facial recognition tech bans in place around the nation, but for the most part, questions about the tech are being ignored in favor of the potential benefits touted by government contractors. That critical failure hasn't slowed down deployment by government agencies. Recognizing faces is pretty much the only thing it's expected to do and it can't seem to get the job done well enough to entrust with it things like determining whether or not a person is going to be detained or arrested.
The development and deployment of facial recognition tech continues steadily, but the algorithms involved don't seem to be getting much better at recognizing faces.
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