目前人工智能生成语言模型的现状是,在不同的思维任务上,它们比人类更有创造力
Kent F Hubert1, Kim N Awa2, Darya L Zabelina2
1Department of Psychological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA. khubert@uark.edu.
Scientific reports
|February 10, 2024
概括
人工智能 (AI) 与人类相比,显示出更高的创造力. 研究表明,人工智能在不同思维任务的原创性和阐述方面表现出色,挑战了人类在创造力方面的独特性.
科学领域:
- 认知心理学 认知心理学
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 像ChatGPT这样的公开可访问的人工智能 (AI) 大语言模型 (LLM) 正在促使全球讨论AI的能力.
- 新兴的研究质疑创造力作为一种专门的人类特征的假设,突出了人类感知和人工智能的创造性产出之间的差距.
研究的目的:
- 量化评估和比较人类与人工智能的创造性潜力.
- 调查人工智能是否表现出比人类参与者更高的创造能力.
主要方法:
- 采用了三项既定的分歧思维任务:替代用途任务,后果任务和分歧关联任务.
- 收集了151名人类参与者的反应和GPT-4语言模型.
- 分析了基于创造力指标的响应,包括流性,原创性和精确性.
主要成果:
- 与人类参与者相比,人工智能 (GPT-4) 在所有不同的思维测量中表现出明显更高的创造力.
- 在控制响应流性时,人工智能表现出卓越的原创性和细致性.
- 这些发现表明,创造性潜力的强大差异有利于人工智能.
结论:
- 当前的人工智能语言模型具有比人类受访者更高的创造性潜力.
- 这项研究挑战了传统的观点,认为创造力是人类独特的属性.
- 未来的研究应该探索人工智能驱动的创造力的机制和影响.
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