Collaborative Appropriation of AI in the Context of Interacting with AI.

In the context of maintaining technical equipment, AI is used to detect possible problems. Human specialists check whether a real problem is addressed, and, in this case, try to solve it. Furthermore, they go on trying to translate the problem notification into an improvement of other software components into which the AI system is embedded. Thus, every AI result is not only the cause of immediate action but is also a trigger within the process of continuous appropriation of the technical infrastructure that includes AI. The whole socio-technical system is a subject of AI-related improvement as a collaborative task that requires continuous advancement of human competences and skills. This has to be supported by a type of explainable AI by which the process of understanding the reasons driving AI output is not a task for a single end-user but rather the result of combining different specialists’ viewpoints and competences.