Section 140 · Chapter 17, Personalized and Dynamic AI Products
Testing User-Owned Memory and AI Identity
If AI memory shapes behavior, users need ways to inspect it, correct it, move it, and limit it.
What to do
- Define runnable checks that exercise user owned memory identity.
- Set acceptable outcomes and blocker failures for user owned memory identity before running the evaluation.
- Run representative cases for user owned memory identity and preserve the failures that would change the decision.
Evidence to preserve
- Preserve the inputs, versions, configurations, raw outcomes, and results for user owned memory identity needed to reproduce work on Testing User-Owned Memory and AI Identity.
- Report results for user owned memory identity by relevant slice, separate blocker failures from averages, state uncertainty and blind spots, and connect the result to a release decision.
Expert note
When the system matters, memory testing should include create, read, update, and delete (CRUD) operations, provenance, consent, expiration, sensitivity labels, cross-context isolation, export/import, conflict resolution, and audit trails. Also test memory poisoning: a malicious or mistaken instruction should not become a permanent hidden policy.
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Cite this page
Jason Arbon. "Testing User-Owned Memory and AI Identity." Testing AI Knowledge Edition, section 140.
https://jarbon.ai/testing-ai/knowledge/ch140-user-owned-memory-identity.html