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The development of artificial intelligence (AI), and in particular of machine learning (ML) technologies, in workplaces is transforming the nature of work and skills. The project addresses this transformation by (1) analysing the challenges of ML systems for work practices; (2) examining skill requirements for different groups of workers interacting with ML (workers, developers and users); and (3) developing criteria for the design of work, skill formation approaches and skill-enhancing ML systems, focusing on transparency and explainability. These goals are addressed through an interdisciplinary co-design approach.