Data underlying the publication: Tensions in transparent urban AI: designing a smart electric vehicle charge point

Data and materials used in a study of the diverging conception of transparency by experts and citizens in the context of smart electric vehicle (EV) charging. The data consists of: documents produced during a design project of a transparent smart EV charge point; two versions of a user interface (UI) prototype in PDF format; and transcripts of interviews with design evaluation participants. Using reflective thematic analysis, we generated a number of themes that capture how project team members ("experts") and EV drivers ("citizens") understand and respond to transparency of an urban AI system. These findings are described in a forthcoming publication. Approval was obtained from the university's Human Research Ethics Committee. All participants in this study gave their informed consent to participation and publication.

本数据集为一项针对智能电动汽车（EV, electric vehicle）充电场景下，专家与公众对透明度概念认知分歧的研究所用的数据与材料。该数据集包含如下内容：透明化智能电动汽车充电点设计项目期间生成的相关文档；两种PDF格式的用户界面（UI, User Interface）原型；以及设计评估参与者的访谈转录文本。本研究采用反思性主题分析方法，提炼出若干核心主题，用以阐释项目团队成员（下称“专家”）与电动汽车驾驶者（下称“民众”）对城市人工智能系统透明度的理解与回应路径。上述研究成果将刊载于待刊学术出版物中。本研究已获得所属大学人类研究伦理委员会的伦理审查批准，所有参与本研究的受试者均已签署知情同意书，明确同意参与研究及相关成果的公开发表。