The Inherent Biases In Algorithms: Everything That Can Go Wrong And The People Who Fix Them

Recent years have seen an eruption of concern about machine learning. When the systems we attempt to teach don’t do what we want or what we expect, ethical and potentially existential risks emerge. In this talk, Brian Christian discusses the inherent biases in algorithms and the varying complexities of the

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