Qualified Cross-References as a Verification Method: The Normative Environment of the EU AI Act

Research has developed a provision-level model and protocol for qualified cross-references within legal frameworks, specifically applied to the EU AI Act and fourteen related instruments. This method aims to enhance the clarity, precision, and consistency of legal knowledge bases by detailing the character, supporting provisions, conditions, and consistency of inter-instrument interactions beyond simple links.

Why it matters

This development is crucial for maintaining legal certainty and operational clarity in complex regulatory environments, particularly where new technologies like AI introduce multifaceted legal challenges. It helps ensure that regulatory compliance and enforcement are based on a precise understanding of intertwined legal obligations and relationships.

Key insights

• Legal cross-references require more than mere links; they need to define the legal character of interaction and identify supporting provisions.
• A new model for 'qualified cross-references' has been developed to specify conditions and ensure consistency across legal instruments.
• The model and construction protocol were applied to a bilingual corpus of fourteen instruments surrounding Regulation (EU) 2024/1689 (the AI Act).
• Key distinctions in legal interactions include direct textual reference, bounded presumption of conformity, substantive interaction without textual reference, and mediated intersection.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.19194