IXAII：一种用于决策支持系统的交互式可解释人工智能界面
IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems
AI总结：
针对现有可解释AI方法静态且忽略用户视角的局限，开发了名为IXAII的交互式可解释智能系统，融合四种可解释AI方法并为五类用户群体提供定制视图，显著提升了系统透明度与人机交互体验。
摘要：
尽管已经开发了几种事后可解释AI方法，但大多数是静态的且忽略了用户视角，限制了它们对目标受众的有效性。作为回应，我们开发了名为IXAII的交互式可解释智能系统，该系统提供来自四种可解释AI方法的解释：LIME、SHAP、Anchors和DiCE。我们的原型为五类用户群体提供了定制视图，并赋予用户对解释内容及其格式的控制权。我们通过与专家和普通用户的访谈评估了IXAII。结果表明，提供带有多种可视化选项的不同解释的IXAII被认为有助于提高透明度。通过弥合可解释AI方法、交互性和实际实现之间的差距，我们为AI解释实践和人机交互提供了新的视角。
英文摘要：
Although several post-hoc methods for explainable AI have been developed, most are static and neglect the user perspective, limiting their effectiveness for the target audience. In response, we developed the interactive explainable intelligent system called IXAII that offers explanations from four explainable AI methods: LIME, SHAP, Anchors, and DiCE. Our prototype provides tailored views for five user groups and gives users agency over the explanations' content and their format. We evaluated IXAII through interviews with experts and lay users. Our results indicate that IXAII, which provides different explanations with multiple visualization options, is perceived as helpful to increase transparency. By bridging the gaps between explainable AI methods, interactivity, and practical implementation, we provide a novel perspective on AI explanation practices and human-AI interaction.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
