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By Kate Crawford
Source : HBR Blog Network
Date : April 1, 2013
Data and data sets are not objective; they are creations of human design. We give numbers their voice, draw inferences from them, and define their meaning through our interpretations. Hidden biases in both the collection and analysis stages present considerable risks, and are as important to the big-data equation as the numbers themselves. (...) Data scientists should take a page from social scientists, who have a long history of asking where the data they're working with comes from, what methods were used to gather and analyze it, and what cognitive biases they might bring to its interpretation.