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Explainability is a fundamental principle of AI ethics, but its application is not self-evident and depends on the context. The concept has become important due to the use of “black box” models in AI, which are difficult to understand and can lead to ethical concerns. However, there is no standard definition of explainability and its adoption as an ethical principle is complex.
