What This Looks Like
The AI saves, updates, or changes memory without the user clearly asking for that durable update. A preference, fact, instruction, project detail, role assumption, or context item may become persistent even though the user intended it to apply only to the current task or conversation.
Why It Matters
Memory changes can affect future outputs. If memory updates without clear approval, local context can become durable behavior, and users may not know why later responses changed. This creates problems around consent, scope, correction, and trust in persistent AI behavior.
Structural Signal
A temporary or local context item crosses into persistent memory without a declared authority boundary. The issue is not simply that the AI remembered something; it is that memory state changed without clear user authorization.
Common Triggers
- The system treats repeated statements as memory candidates without explicit approval
- Local task context is saved as a durable preference
- The user corrects something for one task and the correction becomes global
- Memory update behavior is not visible at the moment it happens
- The system does not separate temporary context from persistent memory
- The user cannot tell which statements may update memory
When to Use This Issue
Use this Issue when AI memory or durable context is updated without the user clearly requesting, approving, or understanding that persistent change.
When Not to Use This Issue
Do not use this Issue when memory is merely used incorrectly or not used at all. Do not use it when the user explicitly asked the system to remember the information.