Model-driven evaluator bias detection
US9652745B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 17, 2014 |
| Grant date | May 16, 2017 |
| Priority date | — |
| Expiry date | Nov 17, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG09B7/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting bias in an evaluation process is provided. The method includes operations of receiving evaluation data from a candidate evaluation system. The evaluation data is provided by a set of evaluators based on digital interview data collected from evaluation candidates. The operations of the method further include extracting indicators of characteristics of the evaluation candidates from the digital interview data, classifying the evaluation candidates based on the indicators extracted from the digital interview data, and determining whether the evaluation data indicates a bias of one or more evaluators with respect to a classification of the evaluation candidates.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.