IP Library Patent Application 17851899
Patent Application
App. No. 17/851,899

Burden Score for an Opaque Model

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Quick Facts
Patent No.
US None
App. No.
17/851,899
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 impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function, the impartiality assessment operation generating a burden score representing the presence of bias in the outcome; 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 (54)

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

receiving data from a data source;

processing the data from the data source 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 providing a cognitive computing function;

performing an impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function, the impartiality assessment operation generating a burden score representing the presence of bias in the outcome, the burden score representing the presence of bias in the outcome representing an impartiality assessment of the cognitive computing function; and,

providing the burden score representing the presence of bias in the outcome to a destination, the destination comprising a cognitive application, the cognitive application providing a user with the impartiality assessment of the cognitive computing function based upon the burden score representing the presence of bias in the outcome.

2 . The method of claim 1 , wherein:

the impartiality assessment engine is 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 using the burden score.

4 . The method of claim 1 , wherein:

the impartiality assessment operation includes assessing an effect of the presence of bias on the outcome of the cognitive computing function.

5 . The method of claim 4 , wherein:

the impartiality assessment engine receives a counterfactual; and,

the impartiality assessment operation contrasts features between an input subject data point and the counterfactual and identifies contrasts between the input data point and the counterfactual.

6 . The method of claim 1 , wherein:

the cognitive computing function is performed using an opaque model; and,

the burden score represents a bias of the opaque model for a particular group of individuals.

7 . 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 data source;

processing the data from the data source 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 providing a cognitive computing function;

performing an impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function, the impartiality assessment operation generating a burden score representing the presence of bias in the outcome, the burden score representing the presence of bias in the outcome representing an impartiality assessment of the cognitive computing function; and,

providing the burden score representing the presence of bias in the outcome to a destination, the destination comprising a cognitive application, the cognitive application providing a user with the impartiality assessment of the cognitive computing function based upon the burden score representing the presence of bias in the outcome.

8 . The system of claim 7 , wherein:

the impartiality assessment engine is implemented within the augmented intelligence system, the augmented intelligence system comprising a cognitive process foundation.

9 . The system of claim 8 , wherein:

the impartiality assessment engine is implemented within the augmented intelligence system, the augmented intelligence system comprising a cognitive process foundation.

10 . The system of claim 7 , wherein:

the impartiality assessment operation includes assessing an effect of the presence of bias on the outcome of the cognitive computing function.

11 . The system of claim 10 , wherein:

the impartiality assessment engine receives a counterfactual; and,

the impartiality assessment operation contrasts features between an input subject data point and the counterfactual and identifies contrasts between the input data point and the counterfactual.

12 . The system of claim 7 , wherein:

the cognitive computing function is performed using an opaque model; and,

the burden score represents a bias of the opaque model for a particular group of individuals.

13 . 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 data source;

processing the data from the data source 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 providing a cognitive computing function;

performing an impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function, the impartiality assessment operation generating a burden score representing the presence of bias in the outcome, the burden score representing the presence of bias in the outcome representing an impartiality assessment of the cognitive computing function; and,

providing the burden score representing the presence of bias in the outcome to a destination, the destination comprising a cognitive application, the cognitive application providing a user with the impartiality assessment of the cognitive computing function based upon the burden score representing the presence of bias in the outcome.

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

the impartiality assessment engine is implemented within the augmented intelligence system, the augmented intelligence system comprising a cognitive process foundation.

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

the cognitive process foundation performs an augmented intelligence assurance operation using the burden score.

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

the impartiality assessment operation includes assessing an effect of the presence of bias on the outcome of the cognitive computing function.

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

the impartiality assessment engine receives a counterfactual; and,

the impartiality assessment operation contrasts features between an input subject data point and the counterfactual and identifies contrasts between the input data point and the counterfactual.

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

the cognitive computing function is performed using an opaque model; and,

the burden score represents a bias of the opaque model for a particular group of individuals.

Assignments (2)
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 →