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- W2893622216 abstract "What makes for an explanation of “black box” AI systems such as Deep Nets? We reviewed the pertinent literatures on explanation and derived key ideas. This set the stage for our empirical inquiries, which include conceptual cognitive modeling, the analysis of a corpus of cases of naturalistic explanation of computational systems, computational cognitive modeling, and the development of measures for performance evaluation. The purpose of our work is to contribute to the program of research on “Explainable AI.” In this report we focus on our initial synthetic modeling activities and the development of measures for the evaluation of explainability in human-machine work systems." @default.
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- W2893622216 date "2018-09-01" @default.
- W2893622216 modified "2023-10-05" @default.
- W2893622216 title "Explaining Explanation For “Explainable Ai”" @default.
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- W2893622216 doi "https://doi.org/10.1177/1541931218621047" @default.
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