* Recommender engines (e.g. music similar to the one I'm listening to)
* Spam filters
* Gmail's email classification (not sure how well it works in practice)
* OCRing documents
* Automated video transcription
* Opponents in games
* Face unlocks for phones
Is only ethical when opt-in, otherwise it violates user privacy to build preference profiles and requires additional private data to make accurate inferences.
> Face unlocks for phones
Heavily racially biased. Facial recognition in general is heavily racially biased.
Other than that, I guess that's a good list. If ML stayed in those arenas it might be a net good, unfortunately those things on the list are mostly side-effects rather than targeted intentions from where research is going (where it's funded). The vast majority of ML/AI work is focused on hijacking people's private data to steal their attention and psychologically manipulate them.
On the other hand something like ad-tech feels more dangerous the better it works, to the point that I employ active countermeasures.
Not so sure about these. Personally, I mostly feel deprived of options. (E.g., I guess, there are some videos uploaded to YT every day, and there must be more than some 3 months old news clips and those videos I've already seen, but it has actually become hard to learn about them. Therefore, in my personal YT universe, human creativity came mostly to a stop.)