{
  "id": 4076,
  "url": "https://arxiv.org/abs/2606.20596v1",
  "title": "HAAS Studio: A Tool for Simulating, Benchmarking, and Governing Human-AI Work Allocation",
  "summary": "We present HAAS Studio, a simulation and decision-support tool for policy-aware adaptive task allocation between humans and AI systems. HAAS Studio turns the HAAS framework into an interactive environment for asking a practical deployment question: before introducing AI into a workflow, how can a team compare allocation strategies, inspect governance tradeoffs, and derive a defensible task-level operating model? The tool combines a five-dimensional cognitive representation of subtasks, a five-mo",
  "authors": "Vicente Pelechano",
  "category": "research",
  "topics": "regulation,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-18T22:07:02.000Z",
  "fetched_at": "2026-07-14T16:30:45.937Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4076",
  "original_url": "https://arxiv.org/abs/2606.20596v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}