Abstract
Using inappropriate datasets for data science tasks can be harmful, especially for applications that impact humans. Targeting data ethics, we demonstrate MithraLabel, a system for generating task-specific information about a dataset, in the form of a set of visual widgets, as a flexible "nutritional label" that provides a user with information to determine the fitness of the dataset for the task at hand.
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CITATION STYLE
Sun, C., Asudeh, A., Jagadish, H. V., Howe, B., & Stoyanovich, J. (2019). Mithralabel: Flexible dataset nutritional labels for responsible data science. In International Conference on Information and Knowledge Management, Proceedings (pp. 2893–2896). Association for Computing Machinery. https://doi.org/10.1145/3357384.3357853
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