Informing AI Policy Assessment using Large-Scale Simulation of Interventions 事件

Informing AI Policy Assessment using Large-Scale Simulation of Interventions arXiv:2605.27395v1 Announce Type: cross Abstract: As the rapid proliferation of AI systems and harms spurs efforts in AI governance around the world, prioritizing among competing policy options has become increasingly challenging for policymakers and researchers. We introduce a methodology for identifying viable policy options to mitigate specified AI harms, helping policymakers and researchers target areas that warran