Media Brief · When Correction Cannot Catch the System
What journalists need to know
Micheal Charles Preble · Independent Researcher
Why this research matters
People are told they can delete or correct information an AI system holds about them. This research asks a sharper follow-up question: once that correction is accepted, does it actually reach every place the old information was already copied, summarized, or used?
The research in one sentence
An accepted correction can be valid at its source while remaining ineffective everywhere the superseded information already went — this paper names that gap “temporal adequacy” and proposes a test for it.
What is new
The distinction between correction validity (recognized) and correction effectiveness (still governs downstream reliance), the concept of corrective latency, and four named outcomes — invalidation, revalidation, retirement, remedy — for what should happen to different kinds of downstream reliance.
What is established vs. proposed
Established (real, current product behavior, cited from vendor documentation): Anthropic and OpenAI both document that deleting a conversation does not automatically delete separately stored memory entries generated from it, and that full removal can require action across multiple places.
Proposed by this paper: temporal adequacy as a governance test, and the four-outcome framework. Neither is empirically validated; the paper reports no experimental result of its own.
What would be inaccurate to say
- That the paper found or measured a specific case of ineffective correction at Anthropic or OpenAI. It cites their own public documentation as illustration, not as evidence of a failure or wrongdoing — the paper says explicitly these examples don't establish wrongdoing or legal injury.
- That the paper demands every AI system delete everything instantly. It explicitly does not require universal synchronization or automatic reversal.
- That this is a new discovery that correction can fail to propagate. The paper is explicit that it occupies a narrow gap between several existing fields of research and does not claim those problems as new.
- That the framework relates to or depends on Operant Dyad's claims about a persistent relationship state. It explicitly does not.
Canonical source / citation
Read the canonical paper record → · Full paper PDF · Its public SSRN record is not yet available.
Preble, Micheal Charles. “When Correction Cannot Catch the System: Temporal Adequacy of Human Authority Over Consequential Personal State” Release manuscript, September 23, 2026. SSRN 7514120, submitted to SSRN, 2026.
Researcher contact
Micheal Charles Preble · Independent Researcher · micheal@perfinitive.com · ORCID
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