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arXiv · 1710.00794

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

Derek Doran·Sarah Schulz·Tarek R. Besold
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Abstract

We characterize three notions of explainable AI that cut across research fields: opaque systems that offer no insight into its algo- rithmic mechanisms; interpretable systems where users can mathemat- ically analyze its algorithmic mechanisms; and comprehensible systems that emit symbols enabling user-driven explanations of how a conclusion is reached. The paper is motivated by a corpus analysis of NIPS, ACL, COGSCI, and ICCV/ECCV paper titles showing differences in how work on explainable AI is positioned in various fields. We close by introducing a fourth notion: truly explainable systems, where automated reasoning is central to output crafted explanations without requiring human post processing as final step of the generative process.

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Derek Doran, Sarah Schulz, Tarek R. Besold. 2017-10-02. What Does Explainable AI Really Mean? A New Conceptualization of Perspectives. https://arxiv.org/abs/1710.00794

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