The Gravitational Pull of the Brussels Effect and Open Science Defenses: Defensive Publication, Extraterritorial Jurisdiction under the EU AI Act, and Machine-Readable IP Preservation Architecture

Affiliation Description / Abstract: This paper analyzes the structural limits of regulatory arbitrage—such as corporate relocations to London or offshore jurisdictions to circumvent the European Union's Artificial Intelligence Act (Regulation (EU) 2024/1689). By leveraging the "Brussels Effect" through the strict extraterritorial scope of Article 2(1)(c) and GDPR Article 9, this monograph demonstrates that any entity serving EU end-users remains subject to mandatory EU compliance and severe statutory penalties. Against predatory data ingestion and non-consensual web scraping by frontier AI models, we formalize a defensive publication strategy utilizing CERN's Zenodo repository. By securing immutable timestamps and digital object identifiers (DOIs), independent researchers establish definitive prior art that pre-emptively bars third-party patent monopolies. Furthermore, we specify the "Strict No-Learn License (NLL-v1.0)" integrating CDSM Directive Art. 4(3) opt-outs, cryptographic C2PA assertions, and fiduciary director oversight (Caremark standard), enforcing game-theoretic equilibrium where commercial exploitation requires ex-ante consent and equitable compensation.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-06
DOI
https://doi.org/10.5281/zenodo.23198186
Primary Topic
Digitalization, Law, and Regulation
Type
preprint
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preprint

The Gravitational Pull of the Brussels Effect and Open Science Defenses: Defensive Publication, Extraterritorial Jurisdiction under the EU AI Act, and Machine-Readable IP Preservation Architecture

Yoko Hasebe
Zenodo (CERN European Organization for Nuclear Research)
Digitalization, Law, and Regulation
preprint

The Gravitational Pull of the Brussels Effect and Open Science Defenses: Defensive Publication, Extraterritorial Jurisdiction under the EU AI Act, and Machine-Readable IP Preservation Architecture

Yoko Hasebe
preprint en

Abstract

Affiliation Description / Abstract: This paper analyzes the structural limits of regulatory arbitrage—such as corporate relocations to London or offshore jurisdictions to circumvent the European Union's Artificial Intelligence Act (Regulation (EU) 2024/1689). By leveraging the "Brussels Effect" through the strict extraterritorial scope of Article 2(1)(c) and GDPR Article 9, this monograph demonstrates that any entity serving EU end-users remains subject to mandatory EU compliance and severe statutory penalties. Against predatory data ingestion and non-consensual web scraping by frontier AI models, we formalize a defensive publication strategy utilizing CERN's Zenodo repository. By securing immutable timestamps and digital object identifiers (DOIs), independent researchers establish definitive prior art that pre-emptively bars third-party patent monopolies. Furthermore, we specify the "Strict No-Learn License (NLL-v1.0)" integrating CDSM Directive Art. 4(3) opt-outs, cryptographic C2PA assertions, and fiduciary director oversight (Caremark standard), enforcing game-theoretic equilibrium where commercial exploitation requires ex-ante consent and equitable compensation.

Zenodo (CERN European Organization for Nuclear Research)
Digitalization, Law, and Regulation
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