AI生成的科研想法更集中，难推动科学探索的广度拓展。
AI Research Agents Narrow Scientific Exploration
- 用5个框架+5个大模型生成超20万条科研想法
- AI想法集中在低影响力区域，且远离后续人类研究方向
- 相比人类，AI更依赖已有文献，难以跳出既有范式
当前AI研究代理已支持大规模人工智能辅助科学发现。我们考察了AI生成的想法是否能拓宽科学探索，还是主要强化已有工作。通过五种代理框架和五种大语言模型，生成了219,655条不同科学领域的想法。实验中出现四个一致模式：第一，AI生成的想法在相同研究领域内比人类论文更集中；第二，它们更接近初始文献，远小于人类后续研究的距离；第三，与未来人类研究的契合度较低；第四，位于历史科学图谱中影响力较低的区域。总体来看，当前AI研究代理更适合局部深化，而非拓展科学探索的广度。
原文摘要 · Abstract (English)
AI research agents now support large-scale AI-assisted scientific discovery. We examine whether AI-generated ideas broaden scientific exploration or primarily reinforce existing work. Using five agent frameworks and five large language models, we generate 219,655 ideas for different scientific fields. Across experiments, four consistent patterns emerge. First, AI-generated ideas are more concentrated than human-authored papers within the same research area. Second, they remain much closer to starting literature than later human follow-on work does. Third, AI-generated ideas align less with future human research. Last, AI-generated ideas are located in lower-impact regions of the historical scientific landscape. Overall, current AI research agents appear better suited to local elaboration than to broadening scientific exploration.
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