@inproceedings{2060ed529235475bad1bb908ee24bf82,
title = "Introduction to the Minitrack on Explainable Artificial Intelligence (XAI)",
abstract = "Artificial Intelligence (AI) has diffused into multiple business domains, while achieving or even exceeding human task performance. However, most AI systems remain {"}black boxes{"} that developers, users, and decision-makers find challenging to comprehend. Therefore, Explainable Artificial Intelligence (XAI) focuses on creating highly efficient intelligent systems that enable users to understand, trust, and scrutinize them appropriately.",
author = "Christian Meske and Babak Abedin and Mathias Klier and Rabhi, \{Fethi A.\}",
note = "Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 57th Annual Hawaii International Conference on System Sciences, HICSS 2024 ; Conference date: 03-01-2024 Through 06-01-2024",
year = "2024",
language = "English",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "AIS Electronic Library (AISeL)",
pages = "1285--1286",
editor = "Bui, \{Tung X.\}",
booktitle = "HICSS 2024",
}