AI正从工具变身为科研伙伴，重塑研究全流程。
Rethinking Science in the Age of Artificial Intelligence
- AI协助文献筛选、跨领域联想、假说生成与实验设计。
- 推动科研从被动计算转向人机协同创新。
- 适合关注AI与科学融合的学者及政策制定者。
人工智能正在重塑化学、生物医学等领域的研究构想、实施与传播方式。本文探讨了AI如何变革科研工作流：当前系统能帮助研究人员应对信息过载，筛选文献，发现跨学科关联以激发创意与合作，生成假说，并设计与执行实验。这一演进标志着AI已从单纯的计算工具转变为科研中的主动合作者。然而，这种转型需要审慎整合与治理。本文主张，在同行评审、伦理评估及结果验证等环节，必须由人类保持判断力，避免完全依赖AI。文章呼吁通过透明、可复现、可问责的政策，有意识地将AI融入科学研究实践。
原文摘要 · Abstract (English)
Artificial intelligence (AI) is reshaping how research is conceived, conducted, and communicated across fields from chemistry to biomedicine. This commentary examines how AI is transforming the research workflow. AI systems now help researchers manage the information deluge, filtering the literature, surfacing cross-disciplinary links for ideas and collaborations, generating hypotheses, and designing and executing experiments. These developments mark a shift from AI as a mere computational tool to AI as an active collaborator in science. Yet this transformation demands thoughtful integration and governance. We argue that at this time AI must augment but not replace human judgment in academic workflows such as peer review, ethical evaluation, and validation of results. This paper calls for the deliberate adoption of AI within the scientific practice through policies that promote transparency, reproducibility, and accountability.
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