LLMs evaluated for generating EU regulatory compliance documents

A new research paper evaluates the effectiveness of Large Language Models (LLMs) in generating regulatory compliance artifacts, such as Digital Product Passports (DPPs) for the Ecodesign for Sustainable Products Regulation (ESPR) and Data Protection Impact Assessments (DPIAs) for the General Data Protection Regulation (GDPR). The study found that while LLMs can assist in creating these documents, their output quality is significantly affected by the vagueness of regulatory guidelines and the complexity of data extraction. The research highlights that less strict guidelines require more detailed prompts for consistency, whereas stricter guidelines may lead to more factual inaccuracies or hallucinations in the generated artifacts. AI

IMPACT LLMs show potential for automating regulatory compliance tasks, but their effectiveness is contingent on clear guidelines and data quality.

RANK_REASON Research paper published on arXiv evaluating LLM capabilities for regulatory compliance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Data Protection Impact Assessments
• Ecodesign for Sustainable Products Regulation
• European Union
• General Data Protection Regulation
• Large Language Models

• paper
• policy

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