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

Elhanan Mishraky; Yair Horesh; Yehezkel Shraga Resheff; Elhanan Mishraky; Yair Horesh; Yehezkel Shraga Resheff

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

Elhanan Mishraky (Inventor)
, Yair Horesh (Inventor)
, Yehezkel Shraga Resheff (Inventor)
, Elhanan Mishraky (Inventor)
, Yair Horesh (Inventor)
, Yehezkel Shraga Resheff (Inventor)

BA Business Department

Research output: Patent

Abstract

[0001] Systems and methods that implement a paired-consistency-based process for evaluating and or regulating fairness in machine learning models.

Original language	English
Patent number	US12014249
IPC	G06N 20/ 00 A I
Priority date	2/01/20
State	Published - 8 Jul 2021

Cite this

@misc{2bbe4ad58b7b4ff785e7e36ca5c5c33d,

title = "PAIRED-CONSISTENCY-BASED MODEL-AGNOSTIC APPROACH TO FAIRNESS IN MACHINE LEARNING MODELS",

abstract = "[0001] Systems and methods that implement a paired-consistency-based process for evaluating and or regulating fairness in machine learning models.",

author = "Elhanan Mishraky and Yair Horesh and Resheff, \{Yehezkel Shraga\} and Elhanan Mishraky and Yair Horesh and Resheff, \{Yehezkel Shraga\}",

year = "2021",

month = jul,

day = "8",

language = "אנגלית",

type = "Patent",

note = "US12014249; G06N 20/ 00 A I",

}

TY - PAT

T1 - PAIRED-CONSISTENCY-BASED MODEL-AGNOSTIC APPROACH TO FAIRNESS IN MACHINE LEARNING MODELS

AU - Mishraky, Elhanan

AU - Horesh, Yair

AU - Resheff, Yehezkel Shraga

AU - Mishraky, Elhanan

AU - Horesh, Yair

AU - Resheff, Yehezkel Shraga

PY - 2021/7/8

Y1 - 2021/7/8

N2 - [0001] Systems and methods that implement a paired-consistency-based process for evaluating and or regulating fairness in machine learning models.

AB - [0001] Systems and methods that implement a paired-consistency-based process for evaluating and or regulating fairness in machine learning models.

M3 - ???researchoutput.researchoutputtypes.patent.patent???

M1 - US12014249

ER -

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

Abstract

Fingerprint

Cite this