谁能用创造性人工智能扩展人类的创造性边界:蜂巢大脑还是大脑?
Eric B Zhou1, Dokyun Lee1,2, Bin Gu1
1Questrom School of Business, Boston University, Boston, MA 02215, USA.
Science advances
|September 3, 2025
概括
创造性人工智能工具通过增加产出来促进新型艺术创作, 而不是通过直接增强人类的创造力. 像"稳定传播"这样的开源模式,
科学领域:
- 数字艺术
- 人工智能
- 创作过程
背景情况:
- 艺术家越来越多地使用生成文本到图像模型.
- 人工智能对创造性发现的影响尚不清楚.
研究的目的:
- 评估人工智能 (AI) 辅助的艺术创作如何影响新思路的贡献.
- 将人工智能辅助的创作者与非采用者进行比较,
主要方法:
- 通过在线艺术平台进行大规模数据分析.
- 对人工智能辅助艺术家与非采用者的比较研究.
- 检查新型文物贡献和输出量.
主要成果:
- 人工智能辅助创作者最初由于产量增加 (生产力效应) 而增加了新贡献.
- 由于稀释效应,每件新物件的贡献率下降,有利于增量勘探.
- 除了提高生产力之外,还没有发现人与人工智能的显著相互作用效应.
- 开源的稳定扩散版本扩展了更多艺术家的新贡献.
结论:
- 文本到图像人工智能工具有助于大规模的探索和创新.
- 最初的突破是由几个"大脑"通过增加的数量驱动的.
- 随后出现了广泛的新贡献,表明了"蜂巢思维"效应.
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