The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
Agentic artificial intelligence (AI) in organizations is a sequential decision problem constrained by reliability and oversight cost. When deterministic workflows are replaced by stochastic policies over actions and tool calls, the key question is not whether a next step appears plausible, but whether the resulting trajectory remains statistically supported, locally unambiguous, and economically governable. We develop a measure-theoretic Markov framework for this setting. The core quantities are
Record details
Published: 25 March 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 14 July 2026
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ethics.ai (25 March 2026), “The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence,” evidence record 6747, https://ethics.ai/record/6747 (originally published by arXiv).
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