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How can we ensure that Ubiquitous Computing (UbiComp) research outcomes areboth ethical and fair? While fairness in machine learning (ML) has gainedtraction in recent years, fairness in UbiComp remains unexplored. This workshopaims to discuss fairness in UbiComp research and its social, technical, andlegal implications. From a social perspective, we will examine the relationshipbetween fairness and UbiComp research and identify pathways to ensure thatubiquitous technologies do not cause harm or infringe on individual rights.From a technical perspective, we will initiate a discussion on data practicesto develop bias mitigation approaches tailored to UbiComp research. From alegal perspective, we will examine how new policies shape our community's workand future research. We aim to foster a vibrant community centered around thetopic of responsible UbiComp, while also charting a clear path for futureresearch endeavours in this field.

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing