  Certain aspects of the explainability of AI systems will be critically
discussed. This especially with focus on the feasibility of the task of making
every AI system explainable. Emphasis will be given to difficulties related to
the explainability of highly complex and efficient AI systems which deliver
decisions whose explanation defies classical logical schemes of cause and
effect. AI systems have provably delivered unintelligible solutions which in
retrospect were characterized as ingenious (for example move 37 of the game 2
of AlphaGo). It will be elaborated on arguments supporting the notion that if
AI-solutions were to be discarded in advance because of their not being
thoroughly comprehensible, a great deal of the potentiality of intelligent
systems would be wasted.
