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Collaborating with highly skilled professionals in participatory design of machine learning (ML) and visualization tools presents unique challenges. This paper reflects on interdisciplinary projects involving medicine, biology, and the social sciences, where ML was introduced to support complex data analysis and segmentation tasks, sometimes from the outset and other times as a later addition. Des
