Now I kinda want to see what comes out if one gives a neural network a big pile of pre-transition photos of trans people, and another pile of similarly old photos of cis people. Would it be able to reliably predict if someone's likely to transition based on some subtle cues in the images?
Problematic parts: sourcing these images (I know there sure aren't many photos of pre-transition me, and I don't let the ones in my possession go much of anywhere), lots of ethical issues around having a system that can say "I am 97% sure this person is gonna want to transition". Also probably lots of other ethical issues I'm not thinking of.
No idea, I wasn't really being serious, but what inspired me was a real case of a woman who somehow got identified as pregnant by her supermarket long before she was willing to tell anybody (I don't remember reasons) and they sent her some coupons or something and her family found out. Needless to say, she didn't appreciate.
Problematic parts: sourcing these images (I know there sure aren't many photos of pre-transition me, and I don't let the ones in my possession go much of anywhere), lots of ethical issues around having a system that can say "I am 97% sure this person is gonna want to transition". Also probably lots of other ethical issues I'm not thinking of.