Invention Grant
- Patent Title: Model-driven evaluator bias detection
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Application No.: US15477844Application Date: 2017-04-03
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Publication No.: US10685329B2Publication Date: 2020-06-16
- Inventor: Benjamin Taylor , Loren Larsen
- Applicant: HireVue, Inc.
- Applicant Address: US UT South Jordan
- Assignee: HireVue, Inc.
- Current Assignee: HireVue, Inc.
- Current Assignee Address: US UT South Jordan
- Agency: Lowenstein Sandler LLP
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06K9/00 ; G06Q10/06 ; G09B7/02

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.
Public/Granted literature
- US20170206504A1 MODEL-DRIVEN EVALUATOR BIAS DETECTION Public/Granted day:2017-07-20
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