用AI聊天机器人帮开发者快速检查是否符合欧盟AI法案要求。
Let's have a chat with the EU AI Act
- 基于检索增强生成技术，实时查找法规文本并给出合规建议。
- 对比了普通和图结构RAG模型，发现后者更精准地定位法规条文。
- 适合想合规的AI开发者、企业法务及政策研究者使用。
随着人工智能监管框架日益复杂，确保符合伦理与法律标准对开发者仍是挑战。本文提出一种AI驱动的自评估聊天机器人，帮助用户应对欧盟《人工智能法案》及相关标准。该系统采用检索增强生成（RAG）框架，通过实时检索相关法规文本，提供上下文感知的合规性验证与定制化指导。整合公开与专有标准，简化合规流程，降低复杂度，促进负责任的AI发展。论文探讨了聊天机器人的架构设计，比较了基础版与图结构RAG模型的表现，分析其在AI治理中的潜在影响。
原文摘要 · Abstract (English)
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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