Invention Grant
- Patent Title: Explainable complex model
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Application No.: US16823822Application Date: 2020-03-19
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Publication No.: US11587161B2Publication Date: 2023-02-21
- Inventor: Eric King Loong Shiu , Christopher Z. Lesner , Alexander S. Ran , Marko Sasa Rukonic , Wei Wang , Zhicheng Xue
- Applicant: INTUIT INC.
- Applicant Address: US CA Mountain View
- Assignee: INTUIT INC.
- Current Assignee: INTUIT INC.
- Current Assignee Address: US CA Mountain View
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06Q40/02
- IPC: G06Q40/02 ; G06N20/00 ; G06F40/30 ; G06Q50/26 ; G06N5/04

Abstract:
Certain aspects of the present disclosure provide techniques for generating a human readable summary explanation to a user for an outcome generated by a complex machine learning model. In one embodiment, a risk assessment service can receive a request from a user in which a risk model of the risk assessment service performs a specific task (e.g., determining the level of risk associated with the user). Once the risk model determines the risk associated with the user, in order to comply with regulations from a compliance system, the risk model can provide a user with an explanation as to the outcome for transparency purposes.
Public/Granted literature
- US20210295427A1 EXPLAINABLE COMPLEX MODEL Public/Granted day:2021-09-23
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