Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents
Autonomous AI agents can remain fully authorized and still become unsafe as behavior drifts, adversaries adapt, and decision patterns shift without any code change. We propose the \textbf{Informational Viability Principle}: governing an agent reduces to estimating a bound on unobserved risk $\hat{B}(x) = U(x) + SB(x) + RG(x)$ and allowing an action only when its capacity $S(x)$ exceeds $\hat{B}(x)$ by a safety margin. The \textbf{Agent Viability Framework}, grounded in Aubin's viability theory,
Record details
Published: 27 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (27 April 2026), “Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents,” evidence record 5301, https://ethics.ai/record/5301 (originally published by arXiv).
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