Data Audit in the Age of Machine Learning: Goals and Challenges
Dataversity
JULY 21, 2022
Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence. What does this mean in terms of data audit?
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