使用AI写文后，人们容易记错内容是自己写的还是AI生成的。
The AI Memory Gap: Users Misremember What They Created With AI or Without
- 通过实验对比用户独立创作与使用AI协作时的内容来源记忆。
- 使用AI后正确归因率下降，尤其在混合创作流程中降幅最明显。
- 研究结果对AI辅助写作工具的设计具有警示意义。
随着大语言模型（LLMs）融入交互式文本生成，是否披露内容由AI生成，依赖于用户能否准确回忆内容来源。我们研究了用户在使用AI时对内容来源的记忆准确性。一项预注册实验中，184名参与者在无帮助和使用基于LLM的聊天机器人两种条件下生成并扩展想法。一周后，他们需判断这些想法和文本的来源（noAI vs withAI）。结果表明存在显著记忆差距：使用AI后，正确归因的几率下降，混合人类-AI工作流中降幅最大，即想法或扩写任一环节由AI参与时。我们通过源记忆计算模型验证了结果。讨论更广泛影响时，强调在设计和使用交互式文本生成技术时需关注来源混淆问题。
原文摘要 · Abstract (English)
As large language models (LLMs) become embedded in interactive text generation, disclosure of AI as a source depends on people remembering which ideas or texts came from themselves and which were created with AI. We investigate how accurately people remember the source of content when using AI. In a pre-registered experiment, 184 participants generated and elaborated on ideas both unaided and with an LLM-based chatbot. One week later, they were asked to identify the source (noAI vs withAI) of these ideas and texts. Our findings reveal a significant gap in memory: After AI use, the odds of correct attribution dropped, with the steepest decline in mixed human-AI workflows, where either the idea or elaboration was created with AI. We validated our results using a computational model of source memory. Discussing broader implications, we highlight the importance of considering source confusion in the design and use of interactive text generation technologies.
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