{
  "id": 5766,
  "url": "https://arxiv.org/abs/2604.15222v1",
  "title": "AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment",
  "summary": "Artificial Intelligence is increasingly introduced into systems engineering activities, particularly within requirements engineering, where quality assessment and validation remain heavily dependent on expert judgment. While recent AI tools demonstrate promising capabilities in analyzing and generating requirements, their role within formal systems engineering processes-and their alignment with established INCOSE criteria-remains insufficiently understood. This paper investigates the extent to w",
  "authors": "Oz Levy, Ilya Dikman, Natan Levy, Michael Winokur",
  "category": "research",
  "topics": "safety-alignment,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-16T16:53:57.000Z",
  "fetched_at": "2026-07-14T16:32:02.057Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5766",
  "original_url": "https://arxiv.org/abs/2604.15222v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}