Polycontextural Agent Architectures for Delegated AI: Contextural Accountability Beyond Monolithic AGI

Current debates on artificial general intelligence often imagine AGI as the emergence of aunified artificial mind. This paper questions that monolithic assumption. It does not ask whetherAI systems possess phenomenal consciousness. It asks whether increasingly capable systems candistinguish, occupy, and mediate heterogeneous validity logics in real decision contexts. Starting from the definitional heterogeneity of the AGI debate, the paper argues that generalintelligence is constituted across multiple forms of validity, relevance, and responsibility.Building on Gotthard Günther's theory of polycontexturality, it conceptualizes these heterogeneouslogics as contextures: distinct validity spaces in which claims, recommendations, and actionsbecome meaningful under different conditions. The paper develops the concepts of contextural reflexivity, delegated AI, and contexturalaccountability. It proposes polycontextural agent architectures as an alternative to monolithicAGI models. Such architectures combine contexture-specific agents, mediation layers, rolestructures, and governance mechanisms in order to make explicit which validity logic anAI-generated claim follows, which other contextures it affects, and when human or institutionalescalation is required. The argument is illustrated through a demonstrator from inclusivelabor-market integration. The contribution is a conceptual framework for AGI theory, agentic AI, alignment, and AIgovernance. It reframes general artificial intelligence as a problem of reflexive mediation withindelegated and institutionally embedded decision architectures. The conclusion outlines threesubsequent research directions: Organizational Validity Mapping, Polycontextural ComplianceMetrics, and architectural learning through transjunctional reflection. Note on tools: The author used AI-assisted drafting, translation, and editorial tools during the preparation of this manuscript. The conceptual framing, theoretical argument, selection of sources, responsibility for the content, and final editorial decisions remain with the author.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-25
DOI
https://doi.org/10.5281/zenodo.21552970
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Polycontextural Agent Architectures for Delegated AI: Contextural Accountability Beyond Monolithic AGI

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

Polycontextural Agent Architectures for Delegated AI: Contextural Accountability Beyond Monolithic AGI

Peter Nausner
preprint en

Abstract

Current debates on artificial general intelligence often imagine AGI as the emergence of aunified artificial mind. This paper questions that monolithic assumption. It does not ask whetherAI systems possess phenomenal consciousness. It asks whether increasingly capable systems candistinguish, occupy, and mediate heterogeneous validity logics in real decision contexts. Starting from the definitional heterogeneity of the AGI debate, the paper argues that generalintelligence is constituted across multiple forms of validity, relevance, and responsibility.Building on Gotthard Günther's theory of polycontexturality, it conceptualizes these heterogeneouslogics as contextures: distinct validity spaces in which claims, recommendations, and actionsbecome meaningful under different conditions. The paper develops the concepts of contextural reflexivity, delegated AI, and contexturalaccountability. It proposes polycontextural agent architectures as an alternative to monolithicAGI models. Such architectures combine contexture-specific agents, mediation layers, rolestructures, and governance mechanisms in order to make explicit which validity logic anAI-generated claim follows, which other contextures it affects, and when human or institutionalescalation is required. The argument is illustrated through a demonstrator from inclusivelabor-market integration. The contribution is a conceptual framework for AGI theory, agentic AI, alignment, and AIgovernance. It reframes general artificial intelligence as a problem of reflexive mediation withindelegated and institutionally embedded decision architectures. The conclusion outlines threesubsequent research directions: Organizational Validity Mapping, Polycontextural ComplianceMetrics, and architectural learning through transjunctional reflection. Note on tools: The author used AI-assisted drafting, translation, and editorial tools during the preparation of this manuscript. The conceptual framing, theoretical argument, selection of sources, responsibility for the content, and final editorial decisions remain with the author.

Zenodo (CERN European Organization for Nuclear Research)
University of Graz (AT)
Peace, Justice and strong institutions
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.