AI可拓展但也能取代学科创造力，引发科学价值重估
AI and the Decentering of Disciplinary Creativity
- 区分创意过程与成果，提出'学科创造力'新概念
- 数学案例显示部分AI方法会取代人类创造力发挥
- 适合关注AI对科研本质影响的学者与政策制定者
本文探讨人工智能在科学问题求解中的作用，重点分析其对学科创造力的影响。基于创造力哲学研究，作者区分了创造性方法与创造性成果，提出'学科创造力'——即运用本领域专长解决该领域重要问题的创造性实践。通过两个数学领域的案例表明，虽然计算能延伸学科创造力，但某些涉及AI的方法反而会取代它。这种替代可能改变甚至削弱科学研究的价值。
原文摘要 · Abstract (English)
This paper examines the role of artificial intelligence in scientific problem-solving, with a focus on its implications for disciplinary creativity. Drawing on recent work in the philosophy of creativity, I distinguish between creative approaches and creative products, and introduce the concept of disciplinary creativity -the creative application of discipline-specific expertise to a valued problem within that field. Through two cases in mathematics, I show that while computation can extend disciplinary creativity, certain approaches involving AI can serve to displace it. This displacement has the potential to alter (and, perhaps, diminish) the value of scientific pursuit.
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