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目前,人工智能生成语言模型在发散思维任务上比人类更具创造力。

The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks.

机构信息

Department of Psychological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.

出版信息

Sci Rep. 2024 Feb 10;14(1):3440. doi: 10.1038/s41598-024-53303-w.

Abstract

The emergence of publicly accessible artificial intelligence (AI) large language models such as ChatGPT has given rise to global conversations on the implications of AI capabilities. Emergent research on AI has challenged the assumption that creative potential is a uniquely human trait thus, there seems to be a disconnect between human perception versus what AI is objectively capable of creating. Here, we aimed to assess the creative potential of humans in comparison to AI. In the present study, human participants (N = 151) and GPT-4 provided responses for the Alternative Uses Task, Consequences Task, and Divergent Associations Task. We found that AI was robustly more creative along each divergent thinking measurement in comparison to the human counterparts. Specifically, when controlling for fluency of responses, AI was more original and elaborate. The present findings suggest that the current state of AI language models demonstrate higher creative potential than human respondents.

摘要

公开可用的人工智能(AI)大型语言模型的出现,如 ChatGPT,引发了全球范围内关于 AI 能力的影响的讨论。新兴的 AI 研究挑战了这样一种假设,即创造性潜力是人类独有的特征,因此,人类的感知与 AI 客观上能够创造的东西之间似乎存在脱节。在这里,我们旨在评估人类与 AI 的创造性潜力。在本研究中,人类参与者(N=151)和 GPT-4 对替代用途任务、后果任务和发散关联任务做出了反应。我们发现,与人类参与者相比,AI 在每个发散思维测量方面都具有更强的创造力。具体来说,当控制反应的流畅性时,AI 更具原创性和复杂性。本研究结果表明,当前的 AI 语言模型表现出比人类参与者更高的创造性潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f53/10858891/58ac65464d16/41598_2024_53303_Fig1_HTML.jpg

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