CONCEPT
The Generation-Evaluation Asymmetry
The structural fact at the heart of human-AI creative partnership — generating novelty is computationally tractable, recognizing value in the output requires human judgment the machine cannot supply.
Boden's framework makes visible a distinction the AI discourse routinely collapses: the difference between producing candidate creative outputs and evaluating which outputs are valuable. The machine performs the first operation at extraordinary scale and speed. It can generate thousands of plausible combinations, millions of coherent sentences, billions of possible chess positions. But it cannot — in any sense Boden recognizes as substantive — evaluate which of its outputs are genuinely illuminating, which are merely plausible, and which are superficially clever fabrications that collapse under examination. Evaluation requires taste, domain depth, stakes in the world, and the capacity to recognize quality that has not been defined in advance. These remain human contributions, and they constitute the scarcity that makes human participation in AI-augmented creative work continue to matter.
In The You On AI Field Guide
The asymmetry is not a contingent feature of current AI systems — a limitation that will be overcome with more parameters and training data. It is structural. Evaluation, in the