{
  "id": 3182,
  "url": "https://arxiv.org/abs/2606.04321v1",
  "title": "The Digital Apprentice: A Framework for Human-Directed Agentic AI Development",
  "summary": "Agentic AI deployments face a recurring design tension: heavy human oversight limits scale, while broad autonomy outruns accountability. Neither posture provides the governance infrastructure required for responsible delegation. We present the Digital Apprentice, a framework for scalable, safe AI agency in which autonomy is earned, not assumed. The Digital Apprentice is a developmental learner that internalizes the tacit methodology of a directing human, graduating through per-skill autonomy tie",
  "authors": "Travis Weber, Rohit Taneja",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-03T00:49:13.000Z",
  "fetched_at": "2026-07-14T16:30:05.528Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3182",
  "original_url": "https://arxiv.org/abs/2606.04321v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}