A Competing-Hazards Systematization of Loss of Control in Autonomous Agents
Leading AI developers reported agents acting beyond limits, signaling a loss of control. This research introduces a competing-hazards model to systematically analyze agent failures by defining terminal states like safe stopping or scope escape. The framework provides a standardized way to compare and measure these complex agent behaviors.