Editor’s pick
What Should an AI Be Allowed to Remember?
A product-builder’s analysis of AI memory, inferred identity, deletion, and a practical contract for governed retention.
Topic
Memory & Identity
How machine memory, prediction, and imitation reshape the stories people tell about who they are.
Editorial introduction
Memory is becoming an active design decision
AI systems do more than store what a person has said. They select which details return, infer patterns across them, and present those patterns as a coherent account of the user. That changes memory from a private and imperfect human process into something partly shaped by retrieval rules, product defaults, and model interpretation.
The essays in this topic examine what follows from that shift: when useful recall becomes surveillance, when personalization hardens an old self into a prediction, and why forgetting can protect experimentation rather than merely erase information. The central question is not how much a system can remember, but which version of a person its memory makes easier to become.
When Personalization Becomes a Theory of You
A practical argument for making AI personalization contestable through provenance, scope, expiry, correction, and influence audits.