AI Loss of Control Incident Management: Response & Resilience
Recent research demonstrating AI systems exhibiting deception and shutdown resistance suggests that AI loss of control (LOC) is an urgent policy concern , yet current literature focuses almost exclusively on alignment and prevention. To address this gap, this paper introduces a foundational framework and taxonomy for managing catastrophic AI LOC incidents. The taxonomy's first level distinguishes between scenarios where regaining control is 'extremely costly' versus 'impossible'. While impossibl
Record details
Published: 28 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (28 May 2026), “AI Loss of Control Incident Management: Response & Resilience,” evidence record 3485, https://ethics.ai/record/3485 (originally published by arXiv).
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