Explainable AI for the metaverse: A Short Survey

被引:0
|
作者
Selvi, Chemmalar G. [1 ]
Yenduri, Gokul [1 ]
Srivastava, Gautam [2 ]
Ramalingam, M. [1 ]
Reddy, Dasaradharami K. [1 ]
Uzair, Muhammad [4 ]
Gadekallu, Thippa Reddy [3 ]
机构
[1] Vellore Inst Technol, Vellore, Tamil Nadu, India
[2] Brandon Univ, Dept Math & Comp Sci, Brandon, MB R7A 6A9, Canada
[3] Lebanese Amer Univ, Dept Elect & Comp Engn, Byblos, Lebanon
[4] Univ Tartu, Inst Comp Sci, Tartu, Estonia
关键词
Explainable Artificial Intelligence; Virtual Reality; Augmented Reality; Virtual world; immersive environment;
D O I
10.1109/iMETA59369.2023.10294907
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Virtual reality, augmented reality, and immersive technologies have advanced rapidly, giving rise to the concept of the metaverse. As users delve into these virtual environments, it becomes crucial to understand the decision-making processes of intelligent systems within the metaverse. Explainable AI (XAI) provides a framework for interpreting and understanding the outcomes of artificial intelligence, making it an essential component for ensuring transparency, trust, and user engagement within the metaverse. This paper aims to explore the fusion of XAI in the context of the metaverse, including key enabling technologies, the impact of XAI on metaverse applications, integration challenges, and future directions.
引用
收藏
页码:182 / 187
页数:6
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