Let's have a chat with the EU AI Act
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866913844626980864 |
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| author | Kovari, Adam Ghafourian, Yasin Hegedus, Csaba Naim, Belal Abu Mezei, Kitti Varga, Pal Tauber, Markus |
| author_facet | Kovari, Adam Ghafourian, Yasin Hegedus, Csaba Naim, Belal Abu Mezei, Kitti Varga, Pal Tauber, Markus |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_11946 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Let's have a chat with the EU AI Act Kovari, Adam Ghafourian, Yasin Hegedus, Csaba Naim, Belal Abu Mezei, Kitti Varga, Pal Tauber, Markus Information Retrieval Artificial Intelligence Computers and Society Digital Libraries Machine Learning 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. |
| title | Let's have a chat with the EU AI Act |
| topic | Information Retrieval Artificial Intelligence Computers and Society Digital Libraries Machine Learning |
| url | https://arxiv.org/abs/2505.11946 |