PAIRED-CONSISTENCY-BASED MODEL-AGNOSTIC APPROACH TO FAIRNESS IN MACHINE LEARNING MODELS

PAIRED-CONSISTENCY-BASED MODEL-AGNOSTIC APPROACH TO FAIRNESS IN MACHINE LEARNING MODELS

Systems and methods that implement a paired-consistency-based process for evaluating and or regulating fairness in machine learning models.

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Bibliographische Detailangaben
Hauptverfasser: HORESH, Yair, RESHEFF, Yehezkel Shraga, MISHRAKY, Elhanan
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods that implement a paired-consistency-based process for evaluating and or regulating fairness in machine learning models.