Invention Grant
- Patent Title: Robustness score for an opaque model
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Application No.: US17882092Application Date: 2022-08-05
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Publication No.: US11636284B2Publication Date: 2023-04-25
- Inventor: Joydeep Ghosh , Jessica Henderson , Matthew Sanchez
- Applicant: Cognitive Scale, Inc.
- Applicant Address: US TX Austin
- Assignee: Cognitive Scale, Inc.
- Current Assignee: Cognitive Scale, Inc.
- Current Assignee Address: US TX Austin
- Agency: Terrile, Cannatti & Chambers
- Agent Stephen A. Terrile
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N20/00 ; G06N5/045 ; G06N5/04 ; G06N5/02 ; G06N5/043 ; H04L67/00 ; G06V10/75 ; G06F16/9535 ; G06N99/00 ; G06Q10/10 ; G06T19/00 ; G06N3/12

Abstract:
A method, system and computer-readable storage medium for performing a cognitive information processing operation. The cognitive information processing operation includes: receiving data from a plurality of data sources; processing the data from the plurality of data sources to provide cognitively processed insights via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function; performing a robustness assessment operation, the robustness assessment operation assessing robustness of the cognitive computing function, the robustness assessment operation generating a robustness score representing robustness of the cognitive computing function; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.
Public/Granted literature
- US20220383134A1 Robustness Score for an Opaque Model Public/Granted day:2022-12-01
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