AI RESEARCH
The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
arXiv CS.AI
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ArXi:2603.24582v1 Announce Type: new 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 ed, locally unambiguous, and economically governable. We develop a measure-theoretic Marko framework for this setting.