{
  "id": 721,
  "url": "https://arxiv.org/abs/2606.22859v1",
  "title": "AI Scientists as Engines of Discovery: A Case for Development within Reformed Institutions",
  "summary": "Agentic artificial intelligence (AI) systems are beginning to assist, accelerate, and partially automate scientific discovery, performing tasks that span literature synthesis, code generation, data analysis, hypothesis proposal, and model criticism. We argue that this transition is qualitative rather than incremental, and that suitably designed multi-agent systems may evolve from passive computational tools into ``AI scientists'' that can expand the hypothesis-generating and verification capacit",
  "authors": "Raul Jimenez, Boris Bolliet, Francisco Villaescusa-Navarro, Rabih Zbib, Benjamin Wandelt, David N. Spergel et al.",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-22T05:06:29.000Z",
  "fetched_at": "2026-07-14T14:14:46.033Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/721",
  "original_url": "https://arxiv.org/abs/2606.22859v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}