Tunable bias reduction pipeline
US10671942B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 27, 2019 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | May 27, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The systems and methods to reduce bias in an artificial intelligence model are provided. The system may receive word embedding model generated based on a corpus of words. The system may determine a bias definition vector in an embedding space of the word embedding model. The system may receive bias classification criteria. The bias classification criteria may include logic to group word vectors in the word embedding model based on a distance measurement from the bias definition vector. The system may identify, in the word embedding model, a first group of vectors and a second group of vectors based on the bias classification criteria and the bias definition vector. The system may generate a debiased artificial intelligence model. The debiased artificial intelligence model may include associations between words and metrics. The system may weight the metrics for the words associated with the first group of vectors and second group of vectors with a non-zero penalization factor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.