Re:Super Resolution
by vbezhenar on Thursday March 18, 2021 @01:01PM
(#26504800)
Imagine low-resolution face photo. Police found 3 men whose faces are similar to that photo. Now they're super-resolutioning that photo and suddenly first person looks very similar to it, while second and third persons do not. First person is in danger because of algorithm which was trained on some specific photos.
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Re:Super Resolution
by xadhominemx on Thursday March 18, 2021 @01:13PM
(#26504979)
One can imagine a lot of future scenarios. In fact that describes is an entire genre of story writing known as “science fiction”
It isn't "science fiction" though, we have a mountain of examples that demonstrate how probabilistic AI fails when the training dataset doesn't perfectly align with the eventual application. It isn't restricted to AI either, there have been numerous studies showing that cross-race identification to be garbage data.
<Insert other race> all look the same: https://onlinelibrary.wiley.com/doi/abs/10.1002/acp.898
This bus is an ostrich: https://arxiv.org/abs/1312.6199
Racist autofocus: https://sitn.hms.harvard.edu/flash/2020/racial-discriminatio...
Google thinks black people look like gorillas: https://www.wired.com/story/when-it-comes-to-gorillas-google...
And here is an argument to look forward to: should the training dataset be build to represent the general population, or the specific subgroup that the software would be most often encountering? Because that FBI UCR...