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Towards Participatory Design Spaces for Explainable AI Interfaces in Expert Domains

  • In this position paper, we lay out an approach to use participatory and co-design methodology to explore how users perceive and interact with explanations of artificially intelligent decision support systems. We describe how we intend to construct bottom-up participatory design spaces to systematically inform the design of interactive explanations in Human-AI interaction.

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Metadaten
Author:Henrik Mucha, Sebastian Robert, Rüdiger Breitschwerdt, Michael Fellmann
Parent Title (English):CEUR Workshop Proceedings XI-ML 2020
Document Type:Conference Proceeding
Language:English
Publication Year:2020
Tag:Design Spaces; Explainable AI (XAI); Participatory Design