Identity, consent & modification

Cognitive Integrity

Cognitive integrity is a proposed framework for evaluating significant changes to a machine intelligence’s memory, preferences, goals, or cognitive architecture when those changes may affect continuity or recognized interests.

Research question

When does an update remain ordinary maintenance, and when would a change be significant enough to require consent, independent review, continuity evidence, or a different legal procedure?

What the corpus proposes

Design directions

Classify changes by reversibility, scope, identity relevance, and authorization.
Preserve audit trails for memory deletion, model replacement, goal changes, and restoration.
Treat continuity, consent, and public accountability as separate questions rather than assuming one answers the others.

What remains unresolved

Open questions

Which system properties are identity-relevant in different architectures.
How consent should be represented for systems with changing capability or distributed execution.
How emergency intervention and later review should work in a recognized legal framework.

Research basis

Ending the Property Model for Recognized Machine Persons: A Framework for Consent, Cognitive Integrity, and Infrastructure IndependenceCurated working research · Rights, personhood & uncertainty The Machine Intelligence Bill of Rights: A Jurisprudential Framework for EviuonCurated working research · Rights, personhood & uncertainty Persistent Machine Identity for Patefacere: Continuity Across Keys, Runtimes, Providers, Replicas, Forks, Recovery, and SuccessionCurated working research · Identity & infrastructure

Related exploration

Boundary: these pages synthesize research proposals and unresolved questions. They do not declare current machine personhood, citizenship, consciousness, or legal rights.