算法美学:对人工智能产生的视觉艺术的认知视角
Ionela Bara1, Kohinoor M Darda2, Richard Ramsey1,3
1Social Brain Sciences Lab, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland.
iScience
|December 1, 2025
概括
人们表现出对人工智能产生的艺术的偏见,因为它是人工起源的. 本研究探讨了这种偏见的原因及其对未来对人工智能在艺术领域的接受的影响.
科学领域:
- 神经美学是一种神经美学.
- 社会认知是指社会认知.
- 人与机器的互动 人与机器的互动
背景情况:
- 生成型人工智能 (AI) 越来越多地用于艺术创作,从展览到拍卖.
- 尽管人工智能艺术的流行,经验证据显示,当它的起源是已知的,对它有偏见.
- 这种偏见提出了关于未来对人工智能产生的艺术的接受和庆祝的问题.
研究的目的:
- 调查公众对人工智能产生的视觉艺术的偏见的根本原因.
- 要确定这种偏见是否会阻碍人工智能的最终接受和庆祝.
- 开发基于证据的建议,以了解人类-人工智能艺术关系.
主要方法:
- 从神经美学,社会认知,艺术史和人机交互中合成经验证据.
- 开发基于社会认知神经科学的AI艺术偏见的新视角.
- 提出对人工智能艺术接受的经验评估的新途径.
主要成果:
- 确定了公众对人工智能生成的视觉艺术的明显偏见,当其人工起源被披露时.
- 强调需要进一步研究影响人工智能艺术感知的心理和社会因素.
- 通过社会认知神经科学镜头建立了一个理解人工智能艺术接受的框架.
结论:
- 对人工智能艺术的偏见是影响其接收的一个重要因素.
- 了解这种偏见的认知和社会基础对于其潜在的缓解至关重要.
- 需要进一步的经验研究才能充分理解人类和人工智能在艺术领域之间的复杂关系.
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