IP Library Granted Patent US 11,741,429
Granted Patent B2
US 11,741,429 · App. 16/663,613 · Granted Aug 29, 2023

Augmented intelligence explainability with recourse

Inventors: Joydeep Ghosh (Austin, TX); Jessica Henderson (Austin, TX); Matthew Sanchez (Austin, TX)
Assignee: Tecnotree Technologies, Inc.
G06Q10/10G06F16/9535G06F18/10G06F18/2111G06F18/2132G06F18/2148G06F18/2185G06F18/22G06F18/24G06F18/24147G06N3/12G06N5/02G06N5/04G06N5/043G06N5/045G06N20/00G06N99/007G06T19/006G06V10/7788H04L67/34
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Quick Facts
Patent No.
US 11,741,429
App. No.
16/663,613
Granted
Aug 29, 2023
Kind
B2
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 an explainability with recourse operation, the explainability with recourse operation providing an assurance explanation regarding 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.

Claims (49)

1. A computer-implementable method for cognitive information processing, comprising:

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, the cognitive computing function generating an associated cognitive insight;

performing an explainability with recourse operation, the explainability with recourse operation providing an assurance explanation regarding the cognitive computing function and a recourse to changing a particular decision of the cognitive computing function, the explainability with recourse operation comprising an explainability operation, the explainability operation providing a rationale for the associated cognitive insight generated via the cognitive computing function, the rationale for the associated cognitive insight comprising an explanation of a basis used to generate the associated cognitive insight; 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; and wherein

the explainability with recourse operation identifies a subject data point and an optimal counterfactual for a corresponding cognitive computing function, the optimal counterfactual being selected from a plurality of counterfactuals, the optical counterfactual comprising a counterfactual data point separated from the subject data point by a predefined distance vector.

2. The method of claim 1 , wherein:

the explainability with recourse operation is performed via an explainability engine, the explainability engine being implemented within the augmented intelligence system, the augmented intelligence system comprising a cognitive process foundation.

3. The method of claim 2 , wherein:

the cognitive process foundation performs an augmented intelligence assurance operation.

4. The method of claim 1 , wherein:

the explainability with recourse operation uses the optimal counterfactual to provide the recourse for changing the particular decision of the cognitive computing function.

5. The method of claim 4 , wherein:

the recourse for the cognitive computing function is provided as a cognitive insight.

6. A system comprising:

a hardware processor;

a data bus coupled to the hardware processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the hardware processor and configured for:

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, the cognitive computing function generating an associated cognitive insight;

performing an explainability with recourse operation, the explainability with recourse operation providing an assurance explanation regarding the cognitive computing function and a recourse to changing a particular decision of the cognitive computing function, the explainability with recourse operation comprising an explainability operation, the explainability operation providing a rationale for the associated cognitive insight generated via the cognitive computing function, the rationale for the associated cognitive insight comprising an explanation of a basis used to generate the associated cognitive insight; 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; and wherein

the explainability with recourse operation identifies a subject data point and an optimal counterfactual for a corresponding cognitive computing function, the optimal counterfactual being selected from a plurality of counterfactuals, the optical counterfactual comprising a counterfactual data point separated from the subject data point by a predefined distance vector.

7. The system of claim 6 , wherein:

the explainability with recourse operation is performed via an explainability engine, the explainability engine being implemented within the augmented intelligence system, the augmented intelligence system comprising a cognitive process foundation.

8. The system of claim 7 , wherein:

the cognitive process foundation performs an augmented intelligence assurance operation.

9. The system of claim 6 , wherein:

the explainability with recourse operation uses the optimal counterfactual to provide recourse for changing the particular decision of the cognitive computing function.

10. The system of claim 9 , wherein:

the recourse for the cognitive computing function is provided as a cognitive insight.

11. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

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, the cognitive computing function generating an associated cognitive insight;

performing an explainability with recourse operation, the explainability with recourse operation providing an assurance explanation regarding the cognitive computing function and a recourse to changing a particular decision of the cognitive computing function, the explainability with recourse operation comprising an explainability operation, the explainability operation providing a rationale for the associated cognitive insight generated via the cognitive computing function, the rationale for the associated cognitive insight comprising an explanation of a basis used to generate the associated cognitive insight; 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; and wherein

the explainability with recourse operation identifies a subject data point and an optimal counterfactual for a corresponding cognitive computing function, the optimal counterfactual being selected from a plurality of counterfactuals, the optical counterfactual comprising a counterfactual data point separated from the subject data point by a predefined distance vector.

12. The non-transitory, computer-readable storage medium of claim 11 , wherein:

the explainability with recourse operation is performed via an explainability engine, the explainability engine being implemented within the augmented intelligence system, the augmented intelligence system comprising a cognitive process foundation.

13. The non-transitory, computer-readable storage medium of claim 12 , wherein:

the cognitive process foundation performs an augmented intelligence assurance operation.

14. The non-transitory, computer-readable storage medium of claim 11 , wherein:

the explainability with recourse operation uses the optimal counterfactual to provide recourse for changing the particular decision of the cognitive computing function.

15. The non-transitory, computer-readable storage medium of claim 11 , wherein:

the recourse for the cognitive computing function is provided as a cognitive insight.

16. The non-transitory, computer-readable storage medium of claim 11 , wherein:

the computer executable instructions are deployable to a client system from a server system at a remote location.

17. The non-transitory, computer-readable storage medium of claim 11 , wherein:

the computer executable instructions are provided by a service provider to a user on an on-demand basis.

Assignments (4)
SECURITY INTEREST Recorded Dec 22, 2022
From: TECNOTREE TECHNOLOGIES INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 062213/0388 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 14, 2022
From: COGNITIVE SCALE, INC.; COGNITIVESCALE SOFTWARE INDIA PVT. LTD.; COGNITIVE SCALE UK LTD.; COGNITIVE SCALE (CANADA) INC.
To: TECNOTREE TECHNOLOGIES, INC.
Reel/Frame 062125/0051 →
SECURITY INTEREST Recorded Oct 25, 2022
From: COGNITIVE SCALE INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 061771/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 3, 2020
From: GHOSH, JOYDEEP; HENDERSON, JESSICA; SANCHEZ, MATTHEW
To: COGNITIVE SCALE, INC.
Reel/Frame 051993/0646 →
Continuity (3)
Provisional Application 62838831 · Apr 25, 2019
Provisional Application 62819092 · Mar 15, 2019
Related Publication 20200293932A1 · Sep 17, 2020