MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science

Proceedings of the 28th ACM International Conference on Information and Knowledge Management(2019)

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摘要
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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关键词
accountability, data ethics, fairness, machine bias, transparency
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