Independent research on persistent interaction

Micheal Preble is an independent researcher working at the intersection of human–AI interaction, AI governance, epistemic security, and artificial intelligence.

His current work studies systems that retain the history of an ongoing human–AI relationship. The research separates technical persistence from the authority to use persistent state, and asks what must remain visible and correctable when context moves between sessions, applications, models, providers, or institutions.

The published work is conceptual and provisional where the evidence requires it. The aim is to make the underlying configuration problems precise enough to test, challenge, and improve.