Becker, MatthiasMatthiasBeckerSpöttl, GeorgGeorgSpöttlWindelband, LarsLarsWindelband2025-06-302025-06-302022-07-22TVET@Asia 19: 1-15 (2022)https://hdl.handle.net/11420/56013Artificial intelligence (AI) has long been a present-day topic and is having an impact on the economy, society, skilled work and the work environment. However, there are often very different assessments of the effects: On the one hand the loss of jobs and even professions has been predicted, on the other hand new support and shaping options for work are emerging. In addition, AI is treated as a powerful buzzword without considering the real technologies and requirements behind it. Nevertheless, consequences for the world of work and its employees can only be derived and vocational training concepts designed if the handling of AI in skilled work has been concretized beforehand. The impact of AI on vocational education and training and on the skilled worker has so far been discussed in a rather abstract way and only very rarely focused on research. At the same time, technological developments in certain areas (including expert systems, machine learning approaches, digital twins) have already proceeded to such an extent that the effects on skilled work are noticeable and are thus evident. Much will depend on the design of the human-machine interface. In order to evaluate how skilled labour and AI can successfully “cooperate” in manufacturing, a model is presented here that can support the evaluation process.en2196-839X202219115Vocational Education | Industry 4.0 | Autonomy | Automation | HumanTechnology::600: TechnologyJournal Article10.5445/IR/1000149185Journal Article