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Understanding the dilemma of explainable artificial intelligence: a proposal for a ritual dialog framework

Author

Listed:
  • Aorigele Bao

    (University of Chinese Academy of Sciences
    Chinese Academy of Sciences
    Center for Long-term Artificial Intelligence
    Chinese Academy of Sciences)

  • Yi Zeng

    (University of Chinese Academy of Sciences
    Chinese Academy of Sciences
    Center for Long-term Artificial Intelligence
    Chinese Academy of Sciences)

Abstract

This paper addresses how people understand Explainable Artificial Intelligence (XAI) in three ways: contrastive, functional, and transparent. We discuss the unique aspects and challenges of each and emphasize improving current XAI understanding frameworks. The Ritual Dialog Framework (RDF) is introduced as a solution for better dialog between AI creators and users, blending anthropological insights with current acceptance challenges. RDF focuses on building trust and a user-centered approach in XAI. By undertaking such an initiative, we aim to foster a thorough Understanding of XAI, capable of resolving the current issues of acceptance and recognition.

Suggested Citation

  • Aorigele Bao & Yi Zeng, 2024. "Understanding the dilemma of explainable artificial intelligence: a proposal for a ritual dialog framework," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02759-2
    DOI: 10.1057/s41599-024-02759-2
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