The Symbiotic Liability Trap — Complete Works (Print Edition)

Author: Frank Naujoks
ORCID: 0009-0000-8279-6767
GND-ID: 1173829806
ISNI: 0000000530292953

Affiliation: Decker Verfahrenstechnik GmbH; Nuremberg Institute of Technology (TH Nürnberg)
Publisher: Decker Verfahrenstechnik GmbH, Berg bei Neumarkt, Bavaria, Germany

First Edition: May 2026 

ISBN (Print): 978-3-9828743-3-3 
DOI: https://doi.org/10.67385/slt.2026.001

Licence: CC BY-ND 4.0 (textual content)

Production Details

Edition: 33 numbered copies (and one E.A., one H.C.), hand-bound 
Format: A4 Binding 
Paper: Arctic Paper Munkedals AB (est. 1871, Munkedal, Bohuslän, Sweden), Munken Pure, 130 gsm, acid-free, alkaline-buffered, age-resistant per ISO 9706, FSC® C020637.
Printed in offset lithography by: Pinsker Druck und Medien GmbH (est. 1879, Mainburg, Germany) FSC® C014255. 
Binding: half-leather binding on hand-sewn text block, gold headband, two ribbon markers (blue and gold), marbled endpapers, leather spine with gold title stamping, blind-stamped boards. 
Bound by: Buchbinderei Barbara Kuschinsky (est. 1942, Munich, Germany).
Printed and bound in Germany

Abstract

The Symbiotic Liability Trap — Complete Works (Print Edition) is a limited institutional edition of thirty-three numbered copies, hand-bound and deposited with selected peer institutions in scholarship, library science, policy, and jurisprudence. The volume consolidates seven peer-referenced papers into a unified structural thesis on cross-domain compliance failure in AI-assisted decision chains. It demonstrates that current fault-based liability regimes — criminal, civil, and regulatory — presuppose that a breach of duty is cognitively recognisable to the responsible actor, yet this premise fails structurally wherever causal chains cross domain boundaries that no single expert can see across. The argument is formalised as a partition-refinement problem in epistemic logic and shown to hold for discrete boundaries and, a fortiori, for continuous gradients of declining cross-domain competence.

The volume is organised in seven modular components designed for independent peer review: Paper 7 establishes the doctrinal proof under German criminal law (§§ 17, 130 OWiG, § 324 StGB) with transpositions to US doctrines (Collective Knowledge, Responsible Corporate Officer, Willful Blindness). Paper 5 develops the strategic framework addressing the triangular liability gap between the EU AI Act (Art. 14), IED 2.0, and Directive EU 2024/1203. Paper 6 documents the iterative human–AI discourse methodology. Papers 1–4 provide empirical evidence from 2,983 indexed industrial cases.

The work proposes the Cross-domain Authority Artifact — a structured, machine- and human-readable integration architecture — as the structural remedy that converts invisible cross-domain risk into auditable accountability. The argument carries an inherent temporal duality (Janus Property): it operates as a structural defence before codification and as an aggravating standard thereafter, rendering itself obsolete as a shield by the act of publication.

The print edition is not available for sale. A digital edition under identical textual content is deposited under a separate DOI and made openly accessible under CC BY-ND 4.0.

Keywords: Symbiotic Liability Trap, Cross-Domain Compliance, Objective Attribution, Organisational Fault, Environmental Criminal Law, Authority Artifact, Epistemic Logic, Janus Property, EU AI Act, IED 2.0, Directive EU 2024/1203, Human-in-the-Loop, Regulatory Drift, Stranded Assets, Self-Annotating Literature.

JEL Classification: K14, K22, K32, O33.

Contents

I.   Legal Proof (Paper 7)
II.  Structural Thesis (Paper 5)
III. Methodological Note (Paper 6)
IV.  Technical Test (Paper 1)
V.   Forensic Analysis (Paper 2)
VI.  Case Study (Paper 3)
VII. Financial Proof (Paper 4)
Appendix, Back Matter, Bibliography, Index, Distribution List, Colophon

Distribution

This edition has been deposited with 33 peer institutions across scholarship, library science, policy, jurisprudence, and faith traditions. The Distribution List is documented in the Back Matter of the work.

Access

This print edition is not available for sale. 
For research access, please consult the depository institutions or refer to the digital edition below.

Digital Edition

The complete text is also available as open-access PDF under separate DOI and ISBN: 

https://doi.org/10.67385/slt.2026.002

ISBN (PDF): 978-3-9828743-8-8