Transparency and explainability of AI systems: From ethical guidelines to requirements

Recent studies have highlighted transparency and explainability as important quality requirements of AI systems. However, there are still relatively few case studies that describe the current state of defining these quality requirements in practice. This study consisted of two phases. The first goal of our study was to explore what ethical guidelines organizations have defined for the development of transparent and explainable AI systems and then we investigated how explainability requirements can be defined in practice. In the first phase, we analyzed the ethical guidelines in 16 organizations representing different industries and public sector. Then, we conducted an empirical study to evaluate the results of…

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