Let's have a chat with the EU AI Act
May 17, 2025 Β· Declared Dead Β· π IEEE/IFIP Network Operations and Management Symposium
"No code URL or promise found in abstract"
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Authors
Adam Kovari, Yasin Ghafourian, Csaba Hegedus, Belal Abu Naim, Kitti Mezei, Pal Varga, Markus Tauber
arXiv ID
2505.11946
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.CY,
cs.DL,
cs.LG
Citations
1
Venue
IEEE/IFIP Network Operations and Management Symposium
Last Checked
4 months ago
Abstract
As artificial intelligence (AI) regulations evolve and the regulatory landscape develops and becomes more complex, ensuring compliance with ethical guidelines and legal frameworks remains a challenge for AI developers. This paper introduces an AI-driven self-assessment chatbot designed to assist users in navigating the European Union AI Act and related standards. Leveraging a Retrieval-Augmented Generation (RAG) framework, the chatbot enables real-time, context-aware compliance verification by retrieving relevant regulatory texts and providing tailored guidance. By integrating both public and proprietary standards, it streamlines regulatory adherence, reduces complexity, and fosters responsible AI development. The paper explores the chatbot's architecture, comparing naive and graph-based RAG models, and discusses its potential impact on AI governance.
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