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[Web page and slides](https://xaitutorial2019.github.io)
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# Explanation and Persuasion Theory
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Taken from : Progressive Disclosure Empirically Motivated Approaches to Designing Effective Transparency
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People interact with computers and intelligent systems in ways that mirror how they interact with other people [62,70]. Given that transparency is essentially an explanation of why a model made a given prediction, we can turn to fields such as psychology and sociology for guidance about operationalizing explanations. These fields have a long history of studying explanation. One approach is to model causal explanation as a form of conversation which is governed by common-sense conversational rules [36] such as Grice’s maxims [30]. In addition, when explanation is needed and a communication breakdown occurs this is remedied by a phenomenon known as conversational repair. Conversational repair is interactional, participants in the conversation collaborate to achieve mutual understanding; this often happens in a turn-by-turn structure with repeated questions and clarifications [73]. These theories would indicate that we should operationalize transparency in ways that fit human communication and repair strategies.
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