生成型人工智能增强了个人的创造力,但减少了新型内容的集体多样性
Anil R Doshi1, Oliver P Hauser2,3
1Department of Strategy and Entrepreneurship, UCL School of Management, London, UK.
Science advances
|July 12, 2024
概括
生成型人工智能 (AI) 提高了个人作家的创造力和故事质量,但可能会降低整体内容的新性. 这种人工智能工具以牺牲集体原创性为代价,提供个人利益.
科学领域:
- 认知心理学 认知心理学
- 人与计算机的交互
- 创意写作研究 创意写作研究
背景情况:
- 创造力是人类的一个基本特征.
- 生成型人工智能 (AI),包括大型语言模型 (LLM),为人类创造力带来了机遇和挑战.
- 人工智能产生的想法对创意产出的影响需要经验研究.
研究的目的:
- 调查人工智能提供的创造性想法对短篇故事的创造力和质量的因果关系.
- 检查如何访问人工智能产生的想法影响作家,特别是那些低基线创造力.
主要方法:
- 进行了一项在线实验,涉及作家.
- 参与者被分成几组,其中一组接受由大型语言模型 (LLM) 产生的故事想法.
- 制作的故事被评价为创造力,写作质量和愉悦性.
主要成果:
- 获得创造性的AI想法导致故事被认为更具创造性,更好地写作,更有趣.
- 这种效应在初始创意水平较低的作家中尤为明显.
- 然而,在人工智能协助下生成的故事显示,与只有人类故事相比,彼此的相似性增加了.
结论:
- 生成型人工智能可以增强个人的创造性生产和感知质量.
- 在个人创造性收获和减少集体新性之间存在潜在的权衡.
- 这些发现突出了一个社会困境,即人工智能的个人利益可能导致创意内容的多样性减少.
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