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Explainable artificial intelligence in information systems: A review of the status quo and future research directions
Electronic Markets ( IF 6.017 ) Pub Date : 2023-05-27 , DOI: 10.1007/s12525-023-00644-5
Julia Brasse , Hanna Rebecca Broder , Maximilian Förster , Mathias Klier , Irina Sigler

The quest to open black box artificial intelligence (AI) systems evolved into an emerging phenomenon of global interest for academia, business, and society and brought about the rise of the research field of explainable artificial intelligence (XAI). With its pluralistic view, information systems (IS) research is predestined to contribute to this emerging field; thus, it is not surprising that the number of publications on XAI has been rising significantly in IS research. This paper aims to provide a comprehensive overview of XAI research in IS in general and electronic markets in particular using a structured literature review. Based on a literature search resulting in 180 research papers, this work provides an overview of the most receptive outlets, the development of the academic discussion, and the most relevant underlying concepts and methodologies. Furthermore, eight research areas with varying maturity in electronic markets are carved out. Finally, directions for a research agenda of XAI in IS are presented.



中文翻译:

信息系统中的可解释人工智能:现状回顾和未来研究方向

对打开黑匣子人工智能 (AI) 系统的探索演变成一种引起全球学术界、企业界和社会关注的新兴现象,并带来了可解释人工智能 (XAI) 研究领域的兴起。凭借其多元化的观点,信息系统 (IS) 研究注定要为这一新兴领域做出贡献;因此,IS 研究中关于 XAI 的出版物数量显着增加也就不足为奇了。本文旨在使用结构化文献综述全面概述 IS 在一般和电子市场中的 XAI 研究。基于产生 180 篇研究论文的文献搜索,这项工作概述了最容易接受的渠道、学术讨论的发展、以及最相关的基本概念和方法。此外,还划分出八个电子市场成熟度不同的研究领域。最后,介绍了 IS 中 XAI 研究议程的方向。

更新日期:2023-05-28
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