@inproceedings{a2339c3257964c1f9cffcef2bade59e7,
title = "Research Trends on XAI for Open RAN",
abstract = "RAN Intelligent Controller (RIC) in O-RAN leverages Artificial Intelligence (AI) to enhance service quality in dynamic network environments. However, AI models have a black-box nature, making their internal operations difficult to interpret. Therefore, the adoption of AI models in RIC requires techniques that provide a clear understanding of model behavior and decision-making processes. eXplainable AI (XAI) has emerged as a core technology that can solve this problem. This paper examines the O-RAN architecture and recent research on the integration of XAI techniques into O-RAN systems.",
keywords = "O-RAN, research trends, XAI",
author = "Seungyeop Song and Heejae Park and Seongryool Wee and Laihyuk Park",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 16th International Conference on Information and Communication Technology Convergence, ICTC 2025 ; Conference date: 14-10-2025 Through 17-10-2025",
year = "2025",
doi = "10.1109/ICTC66702.2025.11388024",
language = "English",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "1918--1919",
booktitle = "2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025",
}