Determining Data Representative of Bias Within a Model

Patent №

US 11,636,386

Granted

2023-04-25

Filed 2019

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16690686

Methods, systems, and computer program products for determining data representative of bias within a model are provided herein. A computer-implemented method includes obtaining a first dataset on which a model was trained, wherein the first dataset contains protected attributes, and a second dataset on which the model was trained, wherein the protected attributes have been removed from the second dataset; identifying, for each of the one or more protected attributes in the first dataset, one or more attributes in the second dataset correlated therewith; determining bias among at least a portion of the identified correlated attributes; and outputting, to at least one user, identifying information pertaining to the one or more instances of bias.

Machine learningVisionKnowledge representationPlanningG06F 18/217G06F 18/214G06N 7/00G06N 20/00G06F 21/6254

AI classification

Machine learning1.00
Knowledge representation1.00
Planning1.00
Vision0.53
AI hardware0.13
Natural language0.04
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 510770281

Assignors

LOHIA, PRANAY KUMAR, SAHA, DIPTIKALYAN, BHIDE, MANISH ANAND, MEHTA, SAMEEP

On an employer assignment, the assignors are typically the inventors.

From the same owner

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