Understanding each-other: Engineering challenges and opportunities for users and systems in the deep learning era

In this paper, we discuss the impact of Deep Learning (DL) techniques in the present and future of the interactive system engineering. On the one hand, the support for more complex vocabularies offers opportunities in better shaping the communication between the user and the system. On the other hand, we identify challenges related to the lack of transparency and explainability in the trained models, which have a negative impact on system understanding for both developers and users.