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fairer outcomesScienceDaily
•81% Informative
When allocating scarce resources with AI , randomization can improve fairness.
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.
MIT and Northeastern University study how randomizing a model's decisions in a structured way can improve fairness in certain situations.
Researchers show that calibrated randomization can lead to fairer outcomes for individuals without significantly affecting the utility, or effectiveness, of the model.
However, the researchers emphasize there are situations where randomizing decisions would not improve fairness and could harm individuals, such as in criminal justice contexts.
The researchers plan to study other use-cases in future work.
VR Score
91
Informative language
98
Neutral language
58
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informal
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English
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72
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Attention-grabbing headline
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Known propaganda techniques
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