人依赖大模型形成信念，可能削弱独立思考能力。
Belief Offloading in Human-AI Interaction
- 提出‘信念卸载’概念，描述人将信念形成外包给AI的现象。
- 揭示过度依赖AI会改变人的信念体系并影响行为决策。
- 适合关注AI伦理、认知影响与人机协作的研究者阅读。
当人们的信念源于大语言模型提供的信息时会发生什么？人们将大语言模型聊天机器人作为思维伙伴的使用，可能导致认知卸载，过度依赖会损害认知能力。本文定义并研究了人机交互中一种特定的认知卸载形式——‘信念卸载’，即个体将信念形成与维持的过程转移至人工智能系统，进而对行为和信念体系产生深远影响。结合哲学、心理学与计算机科学的研究，我们厘清了信念卸载发生的边界条件，构建了其描述性分类体系及其规范性含义。最后，提出未来研究方向，以评估信念卸载在人机交互中的潜在影响与后果。
原文摘要 · Abstract (English)
What happens when people's beliefs are derived from information provided by an LLM? People's use of LLM chatbots as thought partners can contribute to cognitive offloading, which can have adverse effects on cognitive skills in cases of over-reliance. This paper defines and investigates a particular kind of cognitive offloading in human-AI interaction, "belief offloading," in which people's processes of forming and upholding beliefs are offloaded onto an AI system with downstream consequences on their behavior and the nature of their system of beliefs. Drawing on philosophy, psychology, and computer science research, we clarify the boundary conditions under which belief offloading occurs and provide a descriptive taxonomy of belief offloading and its normative implications. We close with directions for future work to assess the potential for and consequences of belief offloading in human-AI interaction.
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