{
  "id": 14511,
  "url": "https://arxiv.org/abs/2607.26064",
  "title": "The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science",
  "summary": "arXiv:2607.26064v1 Announce Type: new Abstract: AI systems are becoming autonomous research agents that generate hypotheses, design experiments, and produce discoveries at scales beyond human oversight. As seen by increased submissions to ML venues, the verification gap between scientific output and our ability to check it is already widening, and autonomous agents make it worse by magnitudes given human-agent asymmetry. We argue that science must evolve its verification infrastructure, as it ha",
  "authors": "Belinda Mo",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T04:00:00.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14511",
  "original_url": "https://arxiv.org/abs/2607.26064",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}