RAG를 활용한 생성형 AI 윤리 Q&A 챗봇 설계와 구현

초록

This study designed and implemented an ethical Q&A chatbot using the Retrieval-Augmented Generation (RAG) technique to support the ethical use of generative AI. Based on the evaluation using the PDF document "Generative AI Ethics Guidebook (2023)", the RAG-based chatbot demonstrated superior response performance in handling unstructured data (such as tables and diagrams) within the document compared to existing generative AI models (ChatGPT, Gemini, DeepSeek, etc.). Using the RAGAS(Retrieval-Augmented Generation Assessment Score) evaluation framework, key metrics— including Context Recall and Factual Correctness—were analyzed. The results confirmed that the RAG chatbot enhances the reliability of document-based information retrieval and can be effectively used in AI ethics education. This research provides a foundational methodology for developing AI ethics guidelines and applying them in educational settings.

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