人工智能可以模仿人类对情感视觉场景的规范性判断
Zaira Romeo1, Alberto Testolin2,3
1Neuroscience Institute, National Research Council, Padova, Italy.
Royal Society open science
|July 31, 2025
概括
人工智能 (AI) 系统现在可以对图像中的情绪进行评分,反映人类的感知. 这种新兴的能力表明,人工智能可以从视觉和语言数据中学习情感概念,影响人工智能的开发和使用.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 情感计算是一种情感计算.
背景情况:
- 人类的情感概念通过生物学,语言和认知来发展.
- 多模式人工智能 (AI) 模型显示出先进的智能能力.
- 人工智能对刺激产生情感反应的能力在很大程度上仍未被探索.
研究的目的:
- 调查最先进的多式联络人工智能系统是否可以模拟人类的情绪评分.
- 评估AI判断图像中的情感维度和离散情绪的能力.
- 通过统计学习探索AI中情感概念的出现.
主要方法:
- 利用了最先进的多式联运人工智能系统.
- 呈现了一组标准化的图像作为情感刺激.
- 将人工智能产生的情绪评分与人类平均评分进行了比较.
主要成果:
- 人工智能判断与人类平均情绪评级有很强的相关性.
- 人工智能系统没有被明确训练,以匹配人类的情感反应.
- 这些发现表明,情感概念的发展可以从大规模的图像文本数据中出现.
结论:
- 多式人工智能可以发展出视觉判断情感内容的能力.
- 语言和统计学习是培养AI情感概念的关键.
- 这些发现对人工智能技术的负责任部署有重大影响.
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