论文标题
从用户的角度来解释人工智能（XAI） - 先前文献的综合和使未来研究的途径有问题的途径
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research
论文作者
论文摘要
系统文献综述（SLR）的最终搜索查询是在2022年7月15日进行的。最初，我们从Scopus和Web of Science数据库中提取了1707期刊和会议文章。然后应用包含和排除标准，并为SLR选择了58篇文章。研究结果显示了塑造AI解释的四个维度，这些尺寸是格式（说明表示格式），完整性（说明应包含所有必需的信息，包括补充信息），准确性（有关说明的准确性）和货币（说明的信息）（解释应包含最新信息）。此外，加上解释的自动表示，用户可以在需要时请求其他信息。我们还发现了XAI效应的五个维度：信任，透明度，可理解性，可用性和公平性。此外，我们研究了从选定文章的当前知识，以使未来的研究议程与可能的研究途径相关。因此，已经开发了XAI的全面框架及其对用户行为的可能影响。
The final search query for the Systematic Literature Review (SLR) was conducted on 15th July 2022. Initially, we extracted 1707 journal and conference articles from the Scopus and Web of Science databases. Inclusion and exclusion criteria were then applied, and 58 articles were selected for the SLR. The findings show four dimensions that shape the AI explanation, which are format (explanation representation format), completeness (explanation should contain all required information, including the supplementary information), accuracy (information regarding the accuracy of the explanation), and currency (explanation should contain recent information). Moreover, along with the automatic representation of the explanation, the users can request additional information if needed. We have also found five dimensions of XAI effects: trust, transparency, understandability, usability, and fairness. In addition, we investigated current knowledge from selected articles to problematize future research agendas as research questions along with possible research paths. Consequently, a comprehensive framework of XAI and its possible effects on user behavior has been developed.
