Bias reduction in machine learning model training and inference
US11966826B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 14, 2022 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Nov 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more default protected attribute values may be determined for a prediction model trained based on training data including a plurality of training observations. Each of the plurality of training observations may include a respective plurality of training data values corresponding with a plurality of features. Each of the plurality of training observations may also include a respective target value. Each of the plurality of training observations may include a respective protected attribute value corresponding with a protected attribute feature. A request to determine a designated predicted target value for a designated inference observation may be received after determining the one or more default protected attribute values. The predicted target value may be determined by applying the prediction model to an inference observation and a designated default protected attribute value of the one or more default protected attribute values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.