- 专利标题: BATCH SCORING MODEL FAIRNESS
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申请号: US17111757申请日: 2020-12-04
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公开(公告)号: US20220180222A1公开(公告)日: 2022-06-09
- 发明人: Manish Anand Bhide , Ravi Chandra Chamarthy , Prashant Pandurang Mundhe
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06N20/00 ; G06F16/23
摘要:
A system and related method score a fairness of an outcome model. The method comprises receiving a set of original transaction records (OTRs), and selecting an OTR subset of the OTRs according to a subset selection criteria in order to reduce a number of OTRs to send to outcome model. For each OTR in the subset a perturbed transaction record (PTR) is created based on the OTR that includes changing at least one attribute in the PTR from the OTR, sending the OTR and the PTR to the outcome model, receiving an OTR outcome and a PTR outcome from the outcome model, and determining a record bias score for the OTR outcome and the PTR outcome respectively that indicates bias in the respective outcome. The OTR and the PTR bias score are stored in a bias determination system (BDS) database.
公开/授权文献
- US12014287B2 Batch scoring model fairness 公开/授权日:2024-06-18
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