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Evidence record 7153 · automatically gathered

Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure

Critical infrastructure increasingly incorporates embodied AI for monitoring, predictive maintenance, and decision support. However, AI systems designed to handle statistically representable uncertainty struggle with cascading failures and crisis dynamics that exceed their training assumptions. This paper argues that Embodied AIs resilience depends on bounded autonomy within a hybrid governance architecture. We outline four oversight modes and map them to critical infrastructure sectors based on

Record details

Published: 16 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (16 March 2026), “Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure,” evidence record 7153, https://ethics.ai/record/7153 (originally published by arXiv).

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