Re:How to Talk When a Machine Is Listening: Corporate Disclo...
by UnFleshedOne on Monday December 14, 2020 @03:17PM
(#25422665)
"Not working as good" is not the same as "actively working against". Unless of course a perfect Aryan visage serves as a master key to all face-locked phones.
Re:How to Talk When a Machine Is Listening: Corporate Disclo...
by bobyfyfy on Monday December 14, 2020 @04:26PM
(#25423567)
The question wasn't "which ML use cases are potentially good", it was "which ML use cases are seen as predatory by users". So it doesn't matter that face detection has the possibility to be good, it's currently bad
Re:How to Talk When a Machine Is Listening: Corporate Disclo...
by UnFleshedOne on Tuesday December 15, 2020 @12:07AM
(#25427217)
Bad, but not predatory. For example most speech recognition systems I tried often produce hilarious results with my accent, but I don't feel the tech is out to get me, it is just less than useless.
On the other hand something like ad-tech feels more dangerous the better it works, to the point that I employ active countermeasures.
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.