Artificial Intelligence is becoming part of any technology we use nowadays. If the AI informs people's decisions, the explanation about AI's outcomes, results, and behavior becomes a necessary capability. However, the discussion of XAI features with various stakeholders is not a trivial task. Most of the available frameworks and methods for XAI focus on data scientists and ML developers as users. Our research is about XAI for end-users of AI systems. We argue that we need to discuss XAI early in the AI-system design process and with all stakeholders. In this work, we aimed at investigating how to operationalize the discussion about XAI scenarios and opportunities among designers and developers of AI and its end-users. We took the Signifying Message as our conceptual tool to structure and discuss XAI scenarios. We experiment with its use for the discussion of a healthcare AI-System.
翻译：人工智能正在成为我们现在使用的任何技术的一部分。如果人工智能告知人们的决定,那么对人工智能的结果、结果和行为的解释就成为一种必要的能力。然而,与各种利害关系方讨论XAI特征并非一项微不足道的任务。XAI的现有框架和方法大多侧重于数据科学家和ML开发商作为用户。我们的研究是关于AI系统终端用户的XAI。我们争辩说,我们需要在AI系统设计过程中尽早与所有利害关系方讨论XAI。在这项工作中,我们旨在研究如何在AI的设计者和开发者及其终端用户之间开展关于XAI设想和机会的讨论。我们把信号信息作为我们构思和讨论XAI情景的概念工具。我们尝试将其用于讨论保健AI-System。
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