{
  "id": 6747,
  "url": "https://arxiv.org/abs/2603.24582v1",
  "title": "The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence",
  "summary": "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",
  "authors": "Biplab Pal, Santanu Bhattacharya",
  "category": "research",
  "topics": "agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-25T17:56:11.000Z",
  "fetched_at": "2026-07-14T16:32:41.669Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6747",
  "original_url": "https://arxiv.org/abs/2603.24582v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}