Browsing Auburn University Libraries by Subject "data quality"
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"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI
(2022-04-13)
Those who work with data have learned the importance of provenance, documentation, standardization, context, and metadata in maintaining the quality of datasets. This was historically done to preserve their utility for ...