Model the builders, not only the models
We usually evaluate high-stakes AI by inspecting the artifact: the model, benchmark, system card, test report, or approval package. But before deployment, accountability is created—or eroded—by a population of builders acting through partial information, uneven authority, deadlines, review queues, and AI-mediated tools.
That makes builder-side AI development a natural candidate for agent-based modeling.