Captchas (such as googles) are used to create training data for object detection machine-learning. I notice now they're using noise filters on the images to put off image recognition. This is either because bots were gaming their system, or to improve their own image MLing.
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Replying to @emmibevensee
I've noticed that the noise filter gets harsher once I start getting the harder captchas (especially the fading ones). I think they might be doing this to fool ML captcha solvers https://arxiv.org/pdf/1704.05051.pdf …
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Replying to @donk_enby @emmibevensee
there was also research done on repurposing image recognition algorithms to inject artifacts into an image that would fool the non-hostile version of the same algorithm into recognising a specific, wrong object. with the difference being largely imperceptible to a human.
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Replying to @donk_enby @emmibevensee
then other people have further applies this to do things like making a self-driving car swerve out of lane by spray painting a small white dot on the road
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Replying to @donk_enby @emmibevensee
generally the idea of using ML to fool other algorithms is very scary to me
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Replying to @emmibevensee
yeah, I also think that for any algorithm that is being used to have some kind of psychological effect on people, we should be able to explain exactly what it's doing and how
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Replying to @donk_enby @emmibevensee
with things we've already seen like the youtube radicalization pipeline, this should be the #1 issue for any "AI ethicist"
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but it seems to me that it's these unintended side effects that a lot of people in the field don't seem to like to think or talk about
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