Machine learning algorithms improve the accuracy of human decision-making by leaps and bounds. Such algorithms take multiple parameters into account to conduct analysis and come to a decision. Cognitive biases influence human decisions. And when fallible humans build machine learning models, biases creep into algorithms. The decisions made by biased machines can have far-reaching consequences.…

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