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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.<\/jats:p>","DOI":"10.1145\/3415173","type":"journal-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T22:28:12Z","timestamp":1602800892000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":43,"title":["Mediating Community-AI Interaction through Situated Explanation"],"prefix":"10.1145","volume":"4","author":[{"given":"Yubo","family":"Kou","sequence":"first","affiliation":[{"name":"Pennsylvania State University, University Park, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinning","family":"Gui","sequence":"additional","affiliation":[{"name":"Pennsylvania State University, University Park, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,15]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)","author":"Adadi Amina","year":"2018","unstructured":"Amina Adadi and Mohammed Berrada . 2018. 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