人工智能和科学研究中的理解错觉
Lisa Messeri1, M J Crockett2,3
1Department of Anthropology, Yale University, New Haven, CT, USA. lisa.messeri@yale.edu.
Nature
|March 6, 2024
概括
人工智能 (AI) 工具有望提高研究生产力和客观性. 然而,它们有可能造成对理解的错觉和科学单一文化,并可能减少科学创新和理解.
科学领域:
- 科学研究方法
- 科学中的人工智能
- 认知科学
背景情况:
- 科学家预计人工智能 (AI) 工具将大大推进研究.
- 人工智能在研究中的吸引力源于其提高生产力和客观性的潜力.
- 人工智能在科学领域的广泛应用带来的风险令人担忧.
研究的目的:
- 开发科学家对人工智能研究的愿景分类.
- 通过检查它们的承诺和潜在陷来分析人工智能工具的吸引力.
- 在人工智能时代为负责任的知识生产提供框架.
主要方法:
- 对人工智能的科学家愿景进行分类的分类.
- 分析与研究中的人工智能相关的认知和系统风险.
- 研究人工智能如何利用人类的认知局限性.
主要成果:
- 人工智能的吸引力在于克服人类的局限性,以提高生产力和客观性.
- 人工智能工具可能会培养对理解的错觉,导致对知识的过度自信.
- 这些风险包括形成科学单一文化,阻碍创新和增加错误的脆弱性.
结论:
- 人工智能在科学中的整合可能会导致产出增加,但理解能力下降.
- 对人工智能的作用进行批判性审查是确保科学进步的必要条件.
- 为应对人工智能在知识生产中的挑战提出了框架.
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