this post was submitted on 31 Aug 2023
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You seem to have the assumption that they're not. And that "helping society" is anything more than a happy accident that results from "making big profits".
A pretty big "what if" when every single model that's been tried for the purpose you suggest so far has either predicted based off the age of a medical imaging scan, or off the doctor's signature in the corner of one.
Are you asking me whether it's a good idea to give up the concept of "Privacy" in return for an image classifier that detects how much film grain there is in a given image?
It's not an assumption. There's academic researchers at universities working on developing these kinds of models as we speak.
I'm not wasting time responding to straw men.
Where does the funding for these models come from? Why are they willing to fund those models? And in comparison, why does so little funding go towards research into how to make neural networks more privacy-compatible?