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The challenging task of fabricating a pristine environment to nurture a growing, powerful learning entity capable of translating data into insights is one that cannot be avoided. It is necessary to realize that automation forces us to lose control and management over overwhelming amounts of data that A.I. mines. The source of the above relevant question is due to the volatility of data, as definitions of bias and corruption transform in accordance with circumstance and environmental conditions.