Contextual impact adjustment for machine learning models
US12229509B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2021 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Jul 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products for detecting contextual bias in text are provided herein. A computer-implemented method includes identifying, by a machine learning network, a protected attribute in one or more data samples; processing the identified data samples using a first sub-network of the machine learning network, wherein the first sub-network is configured to determine a plurality of contexts of the protected attribute across the identified data samples; determining an impact of each of the plurality of contexts on a second sub-network of the machine learning network, wherein the second sub-network of the machine learning network is configured to classify a given data sample into one of a plurality of classes; and adjusting the second sub-network of the machine learning to account for the impact of at least one of the plurality of contexts on the second sub-network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.