大型语言模型对人类表达和思想的同质化效应
Zhivar Sourati1, Alireza S Ziabari1, Morteza Dehghani2
1Department of Computer Science, University of Southern California, Los Angeles, CA, USA; Center for Computational Language Sciences, University of Southern California, Los Angeles, CA, USA.
大型语言模型 (LLM) 有风险标准化语言和推理,可能减少认知多样性. 这种同质化通过加强主导风格和边缘化替代观点来威胁集体智力和适应能力.
科学领域:
- 认知科学是一种认知科学.
- 语言学的语言学.
- 计算机科学 计算机科学
- 心理学 心理学 心理学
背景情况:
- 认知多样性,包括语言,观点和推理的变化,对于创造力和集体智力至关重要.
- 这种多样性深深植根于文化,历史和个人经验.
研究的目的:
- 调查大型语言模型 (LLM) 标准化语言和推理的潜力.
- 分析LLM如何反映和加强主流的语言和推理风格,同时边缘化其他声音.
主要方法:
- 从语言学,心理学,认知科学和计算机科学中合成证据.
- 检查LLMs的设计和广泛使用.
- 分析LLM培训数据和用户依赖如何促进认知同质化.
主要成果:
- 劳动法师倾向于反映和加强他们在培训数据中发现的支配模式.
- 广泛依赖LLM扩大了融合,导致语言和推理的标准化.
- 其他声音和推理策略有被边缘化的风险.
结论:
- 越来越多的LLM集成带来了认知同质化的风险.
- 这种标准化威胁要平整集体智力和适应能力所必需的认知格局.
- 缓解策略是需要在AI时代保持认知多样性的.
更多相关视频
05:48Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
相关概念视频
Language and Cognition
Higher Mental Functions of the Brain: Language
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
Language Development
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
Causes of Similarity-Dissimilarity Effect
Improving Translational Accuracy
Improving Translational Accuracy
