Under CopyrightNiggemann, OliverOliverNiggemannDiedrich, AlexanderAlexanderDiedrichKühnert, ChristianChristianKühnertPfannstiel, ErikErikPfannstielSchraven, JoshuaJoshuaSchraven2022-03-153.9.20212021https://publica.fraunhofer.de/handle/publica/41190310.24406/publica-r-41190310.1109/ICPS49255.2021.9468243Services for Cyber-Physical Systems based on Artificial Intelligence and Machine Learning require a virtual representation of the physical. To reduce modeling efforts and to synchronize results, for each system, a common and unique virtual representation used by all services during the whole system life-cycle is needed-i.e. a DigitalTwin. In this paper such a DigitalTwin, namely the AI reference model AITwin, is defined. This reference model is verified by using a running example from process industry and by analyzing the work done in recent projects.enartificial intelligence applicationscyber-physical systemmachine learninggeneric DigitalTwin modelAI reference modelAITwin004670conference paper