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Stanford scholars recommend fairness training for decision-making algorithms

Algorithmic decisions based on fairness may not always lead to equitable or desirable outcomes. In a new paper, HAI faculty affiliate @JulianNyarko and other Stanford scholars offer recommendations for training algorithms to assist in decision making.

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