Over the last ten years, “computer science” and “AI” applications have gained popularity. In scientific and the public, both phrases are widely used, oftentimes with the same interpretation and other time with distinct connotations. In this study, we want to define the link between all these concepts and, more specifically, to define how automation contributes to intelligent machines. In this article, we analyze pertinent material and provide a basic framework that describes how machine learning is used to create (artificial) ai systems. Therefore, our goal is to increase typological consistency and serve as a foundation for future work and (cross—functional and cross) conversations.