Nowadays, government is armed with algorithms that can forecast domestic violence and employee effectiveness, allowing it to perform its duties more effectively and to achieve correct results more often. But these algorithms can encode hidden biases that disproportionately and adversely impact minorities. What, then, should government consider when implementing predictive algorithms? Where should it draw the line between effectiveness and equality?Source: theregreview
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