CONCEPT
Questioning as the Core of Judgment
The Tetlockian thesis that good judgment begins with good questions — and that the capacity to formulate questions worth asking is the human contribution AI cannot replicate.
Tetlock's forty-year research program is, at its deepest level, about the quality of questions. The superforecaster does not begin with an answer; the superforecaster begins with the question: what am I actually trying to predict? The question forces decomposition of vague predictions into specific, scoreable claims. It forces consideration of the reference class (outside view), the distinctive features of the case (inside view), and the confidence level warranted by the evidence. In the AI age, the capacity to ask such questions becomes the primary human contribution to human-AI collaboration. The machine produces answers with extraordinary fluency. The human who cannot formulate the question that would test whether the answer is correct has outsourced the only cognitive operation that justifies keeping the human in the loop.
In The You On AI Field Guide
The structure of a good forecasting question is specific and demanding. It must be falsifiable: there must be an observable outcome that would prove it