Data science, deep learning, artificial intelligence, and automation processes are becoming increasingly central in most research fields and promise significant developments in each of them. For some time now, their paradigms have also entered the field of digital humanities and archaeology. However, there is still a lack of ethical and disciplinary reflection among scholars and professionals about the current state of the art and the consequences it is already having, and especially the ones it could have in the future. This contribution aims to create a moment of reflection and proposals in this regard.