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It goes like this: "so you want to be anonymous and won't let us track every single thing you do? ok, then you'll help us train our AI so we can improve our self-driving cars and improve how Google Maps extracts information from Street View images"

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I always figured the main point was behavioral profiling on mouse and keystroke trajectories.

They seem to keep adding categories though, which makes me suspect that it is all about ML training. Recently it's chimneys and bridges (although that one may be older).

It's always annoying though.

The likely answer is a bit of both. They use the image tests because it's something that is still kind of hard to do for computers and then uses a small percentage of the boxes as unknown tests to improve some ML algorithm. Unfortunately as computer vision has gotten better they've had to make the challenges harder to the point where they're quite low quality and sometimes count very small features qualifying images. My least favorite is labeling 'cars' because it can be hard to tell if it wants to count cars way off in the distance through the adversarial noise they add to the images.

The bot-vs-human is distinguished by profiling mouse and keystroke patterns.

The image classifications that you do, however, are used to train the computer vision system.

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