Where is the boundary condition for human refusal authority in AI governance?
Most AI governance frameworks address risk management, capability control, or post-incident analysis. But I’m struggling to find something more fundamental: A clear structural condition for when human refusal authority must remain effective — before irreversible external impact occurs. In other words, not “how to manage risk,” but: At what point...