System to detect and reduce understanding bias in intelligent virtual assistants
US11217226B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 29, 2019 |
| Grant date | Jan 4, 2022 |
| Priority date | — |
| Expiry date | Mar 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0636
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a system and method for detecting and addressing bias in training data prior to building language models based on the training data. Accordingly system and method, detect bias in training data for Intelligent Virtual Assistant (IVA) understanding and highlight any found. Suggestions for reducing or eliminating them may be provided This detection may be done for each model within the Natural Language Understanding (NLU) component. For example, the language model, as well as any sentiment or other metadata models used by the NLU, can introduce understanding bias. For each model deployed, training data is automatically analyzed for bias and corrections suggested.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.