Bork, DominikFettke, PeterReimer, UlrichMichael, JudithPfeifferJérômeWortmann, Andreas2022-06-302022-06-302022https://dl.gi.de/handle/20.500.12116/38782The workshop focuses on topics at the intersection of the fields of conceptual modeling and AI and explores the value conceptual modeling brings to AI, and, vice versa, the value that AI can bring to conceptual modeling. This covers a wide range of issues such as how to combine learned and manually engineered models, data-driven modelling support, automatic incremental model adaptation, and how to achieve the explainability of learned models e.g. by utilizing conceptual models as background knowledge.enConceptual ModellingAIModel LearningExplainabilityText/Conference Paper10.18420/modellierung2022ws-002