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DETECTING AND REDUCING BIAS (INCLUDING DISCRIMINATION) IN AN AUTOMATED DECISION MAKING PROCESS
DETECTING AND REDUCING BIAS (INCLUDING DISCRIMINATION) IN AN AUTOMATED DECISION MAKING PROCESS
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机译:在自动决策过程中检测和减少偏差(包括歧视)
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摘要
In some implementations, a computing device determines an event timeline that comprises one or more finance-related events associated with a person. A production classifier may be used to determine (i) an individual contribution of each event in the event timeline to a financial capacity of the person and (ii) a first decision regarding whether to extend credit to the person. A bias monitoring classifier may, based on the event timeline, determine a second decision whether to extend credit to the person. The bias monitoring classifier may be trained using pseudo-unbiased data. If a difference between the first decision and the second decision satisfies a threshold, the production classifier may be modified to reduce bias in decisions made by the production classifier.
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