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.
翻译:将批判性地讨论AI系统可解释性的某些方面,特别是侧重于使每个AI系统都可解释的任务的可行性,将强调与解释高度复杂和高效的AI系统有关的困难,这些系统作出解释的决定不符合传统的逻辑因果关系计划。AI系统可以明显地提出难以理解的解决办法,这些办法在回想中被定性为巧妙(例如AlphaGo游戏2第37页)。将阐述一些论点,支持这样的观点,即如果AI-解决方案由于不能完全理解而事先被抛弃,那么智能系统的潜力将大为浪费。