Accountability Asymmetry and Structural Trust in Autonomous AI Systems

Autonomous AI systems (such as AI agents) are increasingly being delegated operational work across scientific-computing infrastructure. Their assignments may begin with preparing an input or routing an alert and extend to changing a configuration or submitting a job. That delegation creates a practical trust problem because the institutional logic that lets us trust human operators does not transfer to optimization-based systems. A bad decision can damage a human operator's future, sometimes sev

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ethics.ai (4 August 2026), “Accountability Asymmetry and Structural Trust in Autonomous AI Systems,” evidence record 16273, https://ethics.ai/record/16273 (originally published by arXiv).

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