Standards for the Control of Algorithmic Bias

The Canadian Administrative Context

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Governments around the world use machine learning in automated decision-making systems for a broad range of functions. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in automated decision-making?