Let's have a chat with the EU AI Act

TL;DR

This paper presents an AI-powered chatbot that helps users navigate and comply with the EU AI Act by providing real-time, context-aware guidance through a retrieval-augmented generation framework, enhancing responsible AI development.

Contribution

It introduces a novel AI-driven self-assessment chatbot utilizing RAG technology to simplify compliance with complex EU AI regulations, integrating multiple standards for better governance.

Findings

The chatbot effectively retrieves relevant regulatory texts in real-time.

Graph-based RAG models outperform naive retrieval approaches.

The system streamlines compliance and supports responsible AI practices.

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.