What question did this study set out to answer?

This research aims to clarify the distinction between retained corridor formation and objective divergence in AI alignment.

April 28, 2026Open Access

Retained Corridor Formation and the Limits of Face-Only Monitoring: A Structural Complement to Hubinger's Inner Alignment Framework

Key Points

This research aims to clarify the distinction between retained corridor formation and objective divergence in AI alignment.
Introduced the Retained Corridor Formation concept as a structural aspect of AI alignment.
Discussed face-only monitoring limitations in the context of AI systems' alignment efficacy.
Demonstrated that retained corridor formation is distinct from objective divergence, requiring different approaches for alignment.
Highlighted that face-only monitoring is structurally insufficient for effective AI alignment.

Abstract

1º/3 Start here AI Aligment publication stack. This is the entry paper for the UNET alignment publication stack. Argues that Retained Corridor Formation is categorically distinct from Objective Divergence and that face-only monitoring is structurally insufficient for AI alignment. Includes the Propositions and Diagnostic Signatures companion as a supplementary file. After reading, consult the Ontology for structural derivation and the Lexicon for term precision.

Retained Corridor Formation and the Limits of Face-Only Monitoring: A Structural Complement to Hubinger's Inner Alignment Framework

Key Points

Abstract

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