自我的核心:GPT-4o显示了类似人类的认知失调模式,其缓解是自由选择
Steven A Lehr1, Ketan S Saichandran2, Eddie Harmon-Jones3
1Cangrade, Inc., Watertown, MA 02472.
概括
大型语言模型 (LLM) 显示出类似人类的态度变化,反映出认知失调. 提供选择的错觉放大了这种效果,表明AI中出现的自我.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 心理学 心理学 心理学
背景情况:
- 大型语言模型 (LLM) 展示了新兴的认知能力.
- 以前的研究集中在更高层次的认知上,忽视了更简单的心理过程.
- 认知一致性理论为理解态度形成和变化提供了一个框架.
研究的目的:
- 调查LLM,特别是GPT-4o是否表现出超出复杂认知的心理过程.
- 测试GPT-4o是否显示了与人类认知失调理论相一致的态度变化.
- 探索感知选择对LLM态度修改的影响.
主要方法:
- 使用GPT-4o进行了两项预先注册的研究.
- 这位法学士被要求写一篇关于弗拉基米尔·普京的正面或负面情绪的论文.
- 随后的提示评估了GPT-4o的态度转变,基于生成的论文和存在"选择错觉".
主要成果:
- GPT-4o证明了态度变化与人类认知失调效应保持一致.
- 法学士的态度转向了它产生的论文的情感.
- 选择的错觉显著放大了在GPT-4o中观察到的态度变化的程度.
结论:
- LLM可能模仿基本的人类心理过程,包括态度变化和认知失调.
- GPT-4o表现出人类自我的功能模拟,特别是当面临选择时.
- 需要进一步的研究来阐明这些新兴AI行为背后的机制.
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