通过情境解释调解社区-人工智能互动：人工智能主导的调节案例
Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation
摘要：
人工智能（AI）已经在我们的日常技术中变得普遍，并影响着个人和社区。可解释人工智能（XAI）奖学金探索了解释和技术解释的哲学本质，这些解释通常由实验室环境中的专家驱动，对于外行人来说可能很难理解。此外，现有的XAI研究往往侧重于个人层面。人们如何理解和解释社区背景下人工智能主导的决策，目前还知之甚少。从XAI和活动理论，一个基础的HCI理论，我们的理论解释是如何位于一个社区的共同价值观，规范，知识和实践，以及如何位于解释调解社区人工智能的互动。然后，我们提出了一个人工智能主导的适度的案例研究，社区成员共同开发人工智能主导的决策的解释，其中大部分是自动化的惩罚。最后，我们讨论了这个框架在CSCW，HCI和XAI的交叉点的影响。
英文摘要：
Artificial intelligence (AI) has become prevalent in our everyday technologies and impacts both individuals and communities. The explainable AI (XAI) scholarship has explored the philosophical nature of explanation and technical explanations, which are usually driven by experts in lab settings and can be challenging for laypersons to understand. In addition, existing XAI research tends to focus on the individual level. Little is known about how people understand and explain AI-led decisions in the community context. Drawing from XAI and activity theory, a foundational HCI theory, we theorize how explanation is situated in a community's shared values, norms, knowledge, and practices, and how situated explanation mediates community-AI interaction. We then present a case study of AI-led moderation, where community members collectively develop explanations of AI-led decisions, most of which are automated punishments. Lastly, we discuss the implications of this framework at the intersection of CSCW, HCI, and XAI.
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。
