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• W3155482875 abstract "Several social factors impact how people respond to AI explanations used to justify AI decisions affecting them personally. In this position paper, we define a framework called the textit{layers of explanation} (LEx), a lens through which we can assess the appropriateness of different types of explanations. The framework uses the notions of textit{sensitivity} (emotional responsiveness) of features and the level of textit{stakes} (decision's consequence) in a domain to determine whether different types of explanations are textit{appropriate} in a given context. We demonstrate how to use the framework to assess the appropriateness of different types of explanations in different domains." @default.
• W3155482875 created "2021-04-26" @default.
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• W3155482875 date "2021-04-15" @default.
• W3155482875 modified "2023-09-27" @default.
• W3155482875 title "LEx: A Framework for Operationalising Layers of Machine Learning Explanations." @default.
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