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Design and Implementation of a Generative AI Ethics Q&A Chatbot Using RAG

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(9), pp.21~30
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 4, 2025
  • Accepted : September 2, 2025
  • Published : September 30, 2025

Wan-Je Gil 1 In-Soo Shin 1

1동국대학교

Accredited

ABSTRACT

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.

Citation status

* References for papers published after 2024 are currently being built.

This paper was written with support from the National Research Foundation of Korea.