Detecting and reducing bias (including discrimination) in an automated decision making process
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 pers...
Saved in:
Main Authors | , , , |
---|---|
Format | Patent |
Language | English |
Published |
05.03.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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. |
---|---|
Bibliography: | Application Number: US202017009482 |