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大型语言模型对心灵的自我感知和被认为是人类独特的属性产生不同的影响

Oliver L Jacobs¹, Farid Pazhoohi², Alan Kingstone¹

¹Department of Psychology, University of British Columbia, Canada.

Consciousness and cognition

|August 8, 2024

概括

接触大型语言模型 (LLM) 增强了对代理和经验的自我认知,但减少了对这些人类品质的独特认知. 这种人类形象主义影响了我们如何看待自己的思想和他人的思想.

科学领域:

认知心理学认知心理学
人工智能伦理学人工智能伦理学
人与计算机的交互

背景情况:

大型语言模型 (LLM) 越来越复杂,促使研究其心理影响.
人类形象主义,即将类似人类的品质归因于非人类实体,是人类与LLM互动的一个关键考虑因素.
了解LLM如何影响自我和他人感知对于导航AI的社会融合至关重要.

研究的目的:

调查接触LLM反应对个人自我认知和他人认知的影响.
检查人类化LLM如何影响代理和经验的归因.
为了确定是否在代理和经验中感知到人类的独特性被LLM交互改变.

主要方法:

在与LLM输出互动之前和之后,评估了参与者对自己的代理和经验的看法.
心理感知框架,专注于代理 (做能力) 和经验 (感觉能力),被使用.
评估是否代理和经验是人类独特的特征被测量.

主要成果:

在接触LLM之后,参与者报告了他们对自己的代理和经验品质的评估增加.
参与者对代理人的感知和经验作为人类独特的经验在暴露后减少.
士研究生的人形主义导致了不同的转变:自我感知增强和减少人类独特的感知.

结论:

人类化的LLM显著改变了人类心灵的感知,促进了对代理和经验的自我感知.
人类代理和经验的感知独特性在接触LLMs后减少.
需要进一步的研究来探索人类形态主义对人与人之间心灵感知的更广泛影响.

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