I dislike the terms ‘learning’ or even ‘training’ in this context. The first implies that it is the responsibility of the model to learn. The second implies that the model should obey a rigid protocol to perform the task. Both imply that the responsibility lies with the DL model. In fact, the real responsibility lies with the manager, along with the data science team, to teach the DL model by clear examples labeled as ‘good’ or ‘bad’.