A Foundational Study of Algorithmic Bias

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A Data Science and Analytics Committee (DSAC) policy paper, A Foundational Study of Algorithmic Bias, examines the types of biases that can be unintentionally embedded within the algorithms that drive machine-learning and AI systems.

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