Models & Capabilities

When AI remembers, users need a way to correct it

AI memory can be useful and still miss what a person meant. This paper focuses on that mismatch from users’ points of view. A practical check is to review the scope and deletion path for a saved preference that is not sensitive.

Beyond Prompting
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What the source reports

This paper looks at a gap between what people want an AI system to remember and what it stores or uses later. The digest offers a small check: choose a saved preference that is not sensitive. See where it applies and how to delete it. That is a question about user control. The digest gives no rate of harm. It does not say all AI memory tools work alike.

Original source

Title
Characterizing Memory Misalignment in Human-LLM Interaction From User Perspectives
Author
Chen, Jingruo, Zhang, Shuning, Xu, Eryue, Li, Jianing, Yi, Xin
Publication
arXiv
Date
Sunday, September 27, 2026