Augmented Intelligence System Impartiality Assessment Engine

Patent metadata

Field	Value
Publication number	US-2022366190-A1
Application number	US-202217861540-A
Country	US
Kind code	A1
Filing date	Jul 11, 2022
Priority date	Mar 15, 2019
Publication date	Nov 17, 2022
Grant date	—

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; 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.

First claim

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 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; and, providing the cognitively processed insights and information regarding detection of the presence of bias in the outcome of the cognitive computing function to a destination, the destination enabling a user to interact with the cognitive insights.

2 . The method of claim 1 , wherein:
the impartiality assessment engine is implemented within 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 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 1 , wherein:
the impartiality assessment engine receives a counterfactual; and, the impartiality assessment operation contrasts features between a subject data point and the counterfactual and identifies contrasts between the subject data point and the counterfactual.

6 . The method of claim 1 , wherein:
the cognitive computing function is performed using an opaque model.

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 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; and,
providing the cognitively processed insights and information regarding detection of the presence of bias in the outcome of the cognitive computing function to a destination, the destination enabling a user to interact with the cognitive insights.

8 . The system of claim 7 , wherein:
the impartiality assessment engine is implemented within augmented intelligence system, the augmented intelligence system comprising a cognitive process foundation.

9 . The system of claim 8 , wherein:
the cognitive process foundation performs an augmented intelligence assurance operation.

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 7 , wherein:
the impartiality assessment engine receives a counterfactual; and, the impartiality assessment operation contrasts features between a subject data point and the counterfactual and identifies contrasts between the subject data point and the counterfactual.

12 . The system of claim 7 , wherein:
the cognitive computing function is performed using an opaque model.

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 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; and, providing the cognitively processed insights and information regarding detection of the presence of bias in the outcome of the cognitive computing function to a destination, the destination enabling a user to interact with the cognitive insights.

14 . The non-transitory, computer-readable storage medium of claim 13 , wherein:
the impartiality assessment engine is implemented within 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.

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 13 , wherein:
the impartiality assessment engine receives a counterfactual; and, the impartiality assessment operation contrasts features between a subject data point and the counterfactual and identifies contrasts between the subject 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.

19 . The non-transitory, computer-readable storage medium of claim 13 , wherein:
the computer executable instructions are deployable to a client system from a server system at a remote location.

20 . The non-transitory, computer-readable storage medium of claim 13 , wherein:
the computer executable instructions are provided by a service provider to a user on an on-demand basis.

Assignees

• Cognitive Scale Inc

Inventors

• Ghosh Joydeep
• Henderson Jessica
• Sanchez Matthew

Classifications

• G06Q10/10 Primary

  Office automation; Time management · CPC title

• G06F18/2148

  characterised by the process organisation or structure, e.g. boosting cascade · CPC title

• G06V10/7788

  the supervisor being a human, e.g. interactive learning with a human teacher · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06F18/2111

  by using evolutionary computational techniques, e.g. genetic algorithms · CPC title