2019/01/31 by Dimitri Bohlender, Bohlender, Dimitri, Maximilian A. Köhl +1 · 1 citation
Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research
paper · doi:10.48550/arxiv.1902.03096
openalex publication_date 2019/01/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.