大型语言模型和人类在判断公众人物个性的过程中趋同
1Graduate School of Business, Stanford University, Stanford, CA 94305, USA.
PNAS nexus
|October 3, 2024
概括
聊天GPT-4准确地评估了公众人物的个性,与人类评级者高度相关. 这种人工智能模型在没有特殊训练的情况下表现出卓越的性能,这表明它具有先进的人类反应能力.
科学领域:
- 心理学是一门科学.
- 人工智能的人工智能是人工智能.
- 计算社会科学 计算社会科学
背景情况:
- 评估个性在心理学中至关重要.
- 以前的AI模型在人格预测方面表现出有限的成功.
- 像ChatGPT-4这样的大型语言模型 (LLM) 显示了复杂的人类类任务的潜力.
研究的目的:
- 评估ChatGPT-4评估人格特征的能力.
- 将AI人格评级与人类总体判断进行比较.
- 探索高级AI在心理评估中的影响.
主要方法:
- 使用十项人格清单 (TIPI) 进行人格评估.
- 收集了226名公众人物的个性评分.
- 我们将ChatGPT-4的评分与600名人类评分者的评分进行了比较.
主要成果:
- 聊天GPT-4与人类总评分取得了很高的相关性 (r = 0.760.87).
- 人工智能模型的表现优于专业预测模型.
- 聊天GPT-4在没有事先培训或反的情况下进行了这些评估.
结论:
- 聊天GPT-4表现出一个显著的能力,模仿人类的个性评估.
- 这些发现表明,人工智能在理解和复制人类认知的能力方面取得了重大进展.
- 人工智能在心理评估中的潜在应用和伦理考虑需要进一步讨论.
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