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

Aorigele Bao and Yi Zeng ()
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Aorigele Bao: University of Chinese Academy of Sciences
Yi Zeng: University of Chinese Academy of Sciences

Palgrave Communications, 2024, vol. 11, issue 1, 1-9

Abstract: 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.

Date: 2024
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DOI: 10.1057/s41599-024-02759-2

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