Plumbing the Machine Learning Pipeline

How constraints affect our good intentions

We investigate how professionals from different fields (AI engineers, UX designers, and healthcare professionals) work together to collect and label data to train the AI. We aim to explore alternative design processes for ensuring that domain-specific knowledge is adequately transferred between people from different disciplines and between humans and AI in the form of data labels.

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