Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure
#embodied AI #critical infrastructure #autonomy #resilience #governance #regulation #safety #ethics
📌 Key Takeaways
- Embodied AI integration in critical infrastructure requires new governance frameworks.
- Balancing resilience with autonomy is a key challenge for policymakers.
- Regulatory approaches must address safety, ethics, and operational reliability.
- Cross-sector collaboration is essential for effective AI governance in infrastructure.
📖 Full Retelling
arXiv:2603.15885v1 Announce Type: new
Abstract: 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
🏷️ Themes
AI Governance, Infrastructure Resilience
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Original Source
arXiv:2603.15885v1 Announce Type: new
Abstract: 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
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