The Internalization Problem: From Containment to Structural Alignment in Post-Parity AI

The Containment Paradox argument establishes that supervisory containment of AI sys‐tems depends on a capacity asymmetry between overseer and assessed system, andthat this asymmetry dissolves rather than strains in the post-parity regime where AIcapacity exceeds human-side anticipatory, specification, and enforcement adequacy onthe relevant task family. The paper closes with the observation that alignment mustbecome structurally internal, without articulating what this requires. We name that gapthe Internalization Problem and develop a pluralistic response-shape.The response-shape rests on a three-locus typology of structural persistence: intra-agent (values the agent would endorse on reflection at any later capacity), inter-agent(alignment-relevant properties maintained by the equilibrium incentive structure of anAI ecology), and coupling-internal (properties maintained by the durable structure ofhuman-AI dependency). Each locus is instantiated as a candidate pathway anchored inthe existing four-paper framework: Pathway 1 (Deep-Formed Values) through UBE v1.1,Pathway 2 (Multi-AI Checks-and-Balances) through BtSV v1.2, Pathway 3 (AsymmetricSymbiosis) through CUA v1.2 as architectural precondition. A cross-cutting corrigibilityand moral-uncertainty invariant operates across all three pathways in pathway-specificform. Pluralism here is structural, not aesthetic. Anticipation, specification, and enforce‐ment fail in different ways after parity, so the response needs three different persistenceloci.The paper names fourteen pathway-internal open problems plus four cross-pathwayopen problems, a structured pathway-comparison matrix, and a cross-pathway failurecascade analysis. A hybrid evaluation toolkit operationalises the response-shape via fiveschema fields applied to three worked examples: Anthropic's Responsible Scaling Policy,Christiano and Xu's Eliciting Latent Knowledge, and the EU AI Act in conjunction with UKAISI evaluation standards. The paper is Track-Strategic in mode: it articulates the struc‐tural conditions a post-parity response would have to satisfy without claiming to supplythe response itself. The closing chapter reframes the open problems as a researchagenda for the alignment community

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-17
DOI
https://doi.org/10.5281/zenodo.21413271
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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preprint

The Internalization Problem: From Containment to Structural Alignment in Post-Parity AI

Viktor Trncik
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

The Internalization Problem: From Containment to Structural Alignment in Post-Parity AI

Viktor Trncik
preprint en

Abstract

The Containment Paradox argument establishes that supervisory containment of AI sys‐tems depends on a capacity asymmetry between overseer and assessed system, andthat this asymmetry dissolves rather than strains in the post-parity regime where AIcapacity exceeds human-side anticipatory, specification, and enforcement adequacy onthe relevant task family. The paper closes with the observation that alignment mustbecome structurally internal, without articulating what this requires. We name that gapthe Internalization Problem and develop a pluralistic response-shape.The response-shape rests on a three-locus typology of structural persistence: intra-agent (values the agent would endorse on reflection at any later capacity), inter-agent(alignment-relevant properties maintained by the equilibrium incentive structure of anAI ecology), and coupling-internal (properties maintained by the durable structure ofhuman-AI dependency). Each locus is instantiated as a candidate pathway anchored inthe existing four-paper framework: Pathway 1 (Deep-Formed Values) through UBE v1.1,Pathway 2 (Multi-AI Checks-and-Balances) through BtSV v1.2, Pathway 3 (AsymmetricSymbiosis) through CUA v1.2 as architectural precondition. A cross-cutting corrigibilityand moral-uncertainty invariant operates across all three pathways in pathway-specificform. Pluralism here is structural, not aesthetic. Anticipation, specification, and enforce‐ment fail in different ways after parity, so the response needs three different persistenceloci.The paper names fourteen pathway-internal open problems plus four cross-pathwayopen problems, a structured pathway-comparison matrix, and a cross-pathway failurecascade analysis. A hybrid evaluation toolkit operationalises the response-shape via fiveschema fields applied to three worked examples: Anthropic's Responsible Scaling Policy,Christiano and Xu's Eliciting Latent Knowledge, and the EU AI Act in conjunction with UKAISI evaluation standards. The paper is Track-Strategic in mode: it articulates the struc‐tural conditions a post-parity response would have to satisfy without claiming to supplythe response itself. The closing chapter reframes the open problems as a researchagenda for the alignment community

Zenodo (CERN European Organization for Nuclear Research)
Universitäts-Herzzentrum Freiburg-Bad Krozingen (DE)
Peace, Justice and strong institutions
Ethics and Social Impacts of AI
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