Comment on Study Finds LLMs Biased Against Men in Hiring
hendrik@palaver.p3x.de 1 month agoYou're welcome. I mean it's kind of a factual question. Is gender an indicator on its own? If yes, then the rest is just how statistics and probability work... And that's not really a controversy. Maths in itself works 🥹
I'd also welcome if we were to cut down on unrelated stuff, stereotypes and biases. Just pick what you like to optimize for and then do that. At least if you believe in the free market in that way. Of course it also has an impact on society, people etc and all of that is just complex. And then women and men aren't really different, but at the same time they are. And statistics is more or less a tool. Highly depends on what you do with it and how you apply it. It's like that with most tools.
grober_Unfug@discuss.tchncs.de 1 month ago
hendrik@palaver.p3x.de 1 month ago
I meant both sex and gender. They regularly fail to tell me a lot for my own real life. I like some people and dislike others and it's easier for me to talk to / work with / collaborate or empathize depending on various circumstances. Personality traits, shared goals... Maybe sharing something or it's the opposite of that. I believe gender or sex or identity is a bit overrated and so is stereotyped thinking for a lot of applications. Or the need to conform to a stereotype. Dress and identify however you like, make sure to give your children an electronics kit and a princess dress... And unless that's really important for some niche application, don't feel the urge to look into their pants and check what's there.