Generative AIs have been embraced by learners wishing to offload (parts of) complex tasks. However, recent research suggests that AI users are at risk of failing to correctly monitor the extent of their own contribution when being assisted by an AI. This difficulty in keeping track of the division of labor has been shown to result in placebo and ghostwriter effects. In case of the AI-based placebo effect, users overestimate their ability while or after being assisted by an AI. The ghostwriter effect occurs when AI users do not disclose their AI use despite being aware of the contribution made by an AI. These two troubling effects are discussed in the context of the conflict between cognitive externalization and anthropomorphization. While people tend to offload cognitive load into their environment, they also often perceive technology as human-like. However, despite the natural conversations that can be had with current AIs, the desire to attribute human-like qualities that would require the acknowledgment of AI contributions appears to be lacking. Implications and suggestions on how to improve AI use, for example, by employing embodied AI agents, are discussed.

生成式人工智能已受到希望卸载（部分）复杂任务的学习者的欢迎。然而，最近的研究表明，人工智能用户在接受人工智能帮助时，面临着无法正确监控自己贡献程度的风险。这种追踪劳动分工的困难已被证明会导致安慰剂效应和代笔效应。在基于人工智能的安慰剂效应的情况下，用户在人工智能的帮助下或之后高估了自己的能力。当人工智能用户不披露他们的人工智能使用情况时，就会出现代笔效应，尽管他们知道人工智能所做的贡献。这两种令人不安的影响是在认知外化和拟人化之间的冲突的背景下讨论的。虽然人们倾向于将认知负担转移到他们的环境中，但他们也经常将技术视为人类。然而，尽管可以与当前的人工智能进行自然对话，但似乎缺乏赋予类人品质的愿望，而这需要承认人工智能的贡献。讨论了如何改善人工智能使用的影响和建议，例如通过采用具体的人工智能代理。