Towards a Characterization of Explainable Systems
January 31, 2019 Β· Declared Dead Β· π arXiv.org
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Authors
Dimitri Bohlender, Maximilian A. KΓΆhl
arXiv ID
1902.03096
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.SE
Citations
14
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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