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Automated pipeline derives software requirements from GDPR and EU AI Act

Researchers have developed an automated pipeline to translate complex legal regulations, such as the GDPR and the EU AI Act, into actionable software requirements. This system identifies requirement-bearing clauses and generates system-agnostic requirements with clear, plain-language explanations traceable to their legal sources. Evaluations show high accuracy in clause identification and correctness in derived requirements, with user studies indicating significant improvements in comprehension and confidence for practitioners using the accompanying tool, Reg2Req. AI

IMPACT Automates the complex process of translating legal text into software requirements, potentially streamlining compliance for AI systems.

RANK_REASON The cluster contains an academic paper detailing a new methodology and tool for requirement derivation from regulations. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Automated pipeline derives software requirements from GDPR and EU AI Act

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pavithra PM Nair, Preethu Rose Anish ·

    From Regulation to Requirements: An Automated Requirement Derivation and Explanation Pipeline

    arXiv:2607.04448v1 Announce Type: cross Abstract: Ensuring software compliance with regulations such as the General Data Protection Regulation (GDPR) and the Artificial Intelligence Act (EU AI Act) poses a significant challenge, as requirements engineers must translate complex le…