Phd Student
CurrentCurrent purely data-driven Deep-Learning models fail to understand domains on a level that exceeds statistical correlations. Combined with a lack of control structures and ways to interpret the model's inner workings, developers and end-users alike can - and should - not trust such systems output as the sole decision criterion. The inability of such models.