The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science
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
Record details
Published: 30 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Agents & autonomy
Retrieved: 30 July 2026
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ethics.ai (30 July 2026), “The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science,” evidence record 14511, https://ethics.ai/record/14511 (originally published by arXiv cs.CY).
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