Towards a Characterization of Explainable Systems
Bohlender, Dimitri, Köhl, Maximilian A.
–arXiv.org Artificial Intelligence
Building software-driven systems that are easily understood becomes a challenge, with their ever-increasing complexity and autonomy. Accordingly, recent research efforts strive to aid in designing explainable systems. Nevertheless, a common notion of what it takes for a system to be explainable is still missing. To address this problem, we propose a characterization of explainable systems that consolidates existing research. By providing a unified terminology, we lay a basis for the classification of both existing and future research, and the formulation of precise requirements towards such systems.
arXiv.org Artificial Intelligence
Jan-30-2019
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