人工智能上下文信息塑造了人工智能生成的视觉艺术的道德和美学判断
Ionela Bara1, Richard Ramsey2, Emily S Cross1
1Social Brain Sciences Group, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland.
Cognition
|January 17, 2025
概括
生成型人工智能艺术
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 艺术与美学 艺术与美学
背景情况:
- 生成型人工智能 (AI) 越来越多地用于艺术创作,这引发了对其道德和美学影响的质疑.
- 人工智能在艺术中的道德影响仍然未被探索,需要了解人类对人工智能产生的艺术的判断.
- 评估人工智能对艺术的影响需要理解道德判断和道德一致.
研究的目的:
- 调查关于人工智能系统的信息如何影响人工智能产生的艺术的道德和美学判断.
- 为了确定人类艺术是否与人工智能产生的艺术比人工智能产生的艺术更多地与积极的属性密切相关.
- 探索人工智能产生的艺术及其社会影响的道德和美学感知.
主要方法:
- 进行了三项预先注册的实验,使用了明确和隐含的范式.
- 贝叶斯模型被用来分析实验数据.
- 使用隐式关联任务来评估人类和人工智能之间的关联.
主要成果:
- 关于AI后端流程的事实信息在特定情况下 (例如,财务激励,艺术地位) 降低了道德接受度和美学吸引力.
- 关于人工智能艺术成功的额外信息并没有显著影响道德判断.
- 一个隐含的关联任务不能可靠地将人类艺术与积极的属性或人工智能艺术与负面的属性联系起来.
结论:
- 关于人工智能系统的事实细节会影响对人工智能产生的艺术的判断,而关于成功的信息则具有有限的道德效应.
- 人造艺术和人工智能产生的艺术之间隐含的关联是可比的.
- 这项研究加深了对艺术中人类-人工智能相互作用及其社会后果的理解.
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