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

Research has developed a novel provision-level model and protocol for managing 'qualified cross-references' within legal documents. This methodology, demonstrated using the EU AI Act and fourteen related instruments, aims to enhance the consistency and clarity of interactions between legal texts. It distinguishes various types of legal interaction, moving beyond simple links to encompass the legal character, supporting conditions, and consistency requirements of cross-references in curated legal knowledge bases.

Why it matters

This development is crucial for enhancing the precision and enforceability of interconnected legal frameworks, particularly in rapidly evolving regulatory landscapes. Improved clarity in cross-referencing reduces ambiguity, facilitates compliance, and strengthens the coherence of legal systems, which is vital for multinational operations and complex policy domains.

Key insights

• A provision-level model and protocol for qualified cross-references has been developed to improve the representation of legal interactions.
• This model addresses the need for legal links to identify the interaction's legal character, supporting provisions, and consistency requirements.
• The methodology was applied to a bilingual corpus of fourteen instruments related to Regulation (EU) 2024/1689 (the EU AI Act).
• It distinguishes between types of cross-references including direct textual reference, bounded presumption of conformity, substantive interaction without textual reference, mediated intersection, and institutional analogy.
• Applicative interaction and definitional overlap are identified as independent dimensions within the model.

Source

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