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A mental models approach for defining explainable artificial intelligence
23
Zitationen
3
Autoren
2021
Jahr
Abstract
Existing definitions of explanation have limitations for ensuring that the concerns for practical applications are resolved. Defining explainability in terms of the context of their application forces evaluations to be aligned with the practical goals of the model. Further, it will allow researchers to explicitly distinguish between explanations for technical and lay audiences, allowing different evaluations to be applied to each.
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