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

Computer Science

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

A. Bao and Y. Zeng

This research by Aorigele Bao and Yi Zeng explores the multifaceted understanding of Explainable Artificial Intelligence (XAI). It delves into contrastive, functional, and transparent perspectives while proposing the Ritual Dialog Framework (RDF) to enhance communication between AI creators and users, ultimately aiming to build trust and improve acceptance of XAI.

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Playback language: English
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.
Publisher
Humanities & Social Sciences Communications
Published On
Feb 26, 2024
Authors
Aorigele Bao, Yi Zeng
Tags
Explainable Artificial Intelligence
Ritual Dialog Framework
User-centered approach
Trust building
Acceptance challenges
Anthropological insights
Understanding frameworks

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