生成性人工智能的无形创造力:在创造性实践中提示的初见挑战和局限性
David Casacuberta1,2, Ariel Guersenzvaig1,2
1Department of Philosophy, Universitat Autonoma de Barcelona, Barcelona, Spain.
Frontiers in artificial intelligence
|September 2, 2025
概括
创造性人工智能 (GenAI) 提供了新的创意工具,但也挑战了专家技能,体现的参与和直观的知识. 基于即时创作的风险是新手级别的互动,限制了真正的艺术发展.
科学领域:
- 认知科学
- 设计研究
- 人工智能道德
背景情况:
- 生成性人工智能 (GenAI) 越来越多地用于创意领域.
- 让创意变得民主化.
- 对于其对专家表现和技能获取的影响存在担忧.
研究的目的:
- 检查自然语言在GenAI的创造性实践中的挑战.
- 分析以提示为中心的创作对技能,体现和直觉的影响.
- 在GenAI时代重新评估人类创造者的角色.
主要方法:
- 根据德雷福斯和德雷福斯,波兰尼,西蒙,塞内特以及体现认知理论的哲学分析.
- 对以提示为中心的GenAI交互与传统工具的比较分析.
- 对GenAI对创造者的反循环的影响进行话语分析.
主要成果:
- 基于提示的GenAI互动从根本上不同于遵循规则或内化专家知识.
- 很难通过提示来表达创造性的默认,直观的方面.
- 提示可以降低创作者的控制力,并破坏思维-手-物质的反循环,阻碍技能发展.
结论:
- 对于专家的表现,技能获取和在创造性学科中体现的参与, GenAI 的整合带来风险.
- 这种以即时为中心的创作可能会导致初学者参与,而不是培养高级技能.
- 人类的创造力必须保持在创作过程中的核心地位.
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