Introduction to the Minitrack on Explainable Artificial Intelligence (XAI)

被引：0

作者：

Meske, Christian ^{[1
]}

Abedin, Babak ^{[2
]}

Klier, Mathias ^{[3
]}

Rabhi, Fethi A. ^{[4
]}

机构：

[1] Ruhr Univ Bochum, Bochum, Germany

[2] Macquarie Univ, N Ryde, NSW 2109, Australia

[3] Univ Ulm, Ulm, Germany

[4] UNSW Australia, Sydney, NSW, Australia

来源：

PROCEEDINGS OF THE 57TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES | 2024年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1285 / 1286

页数：2

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