US2022351007A1PendingUtilityA1

Burden Score for an Opaque Model

Assignee: COGNITIVE SCALE INCPriority: Mar 15, 2019Filed: Jun 28, 2022Published: Nov 3, 2022
Est. expiryMar 15, 2039(~12.6 yrs left)· nominal 20-yr term from priority
G06V 10/7788G06F 18/2148G06Q 10/10G06N 7/01G06F 18/22G06F 18/2111G06F 18/245G06F 18/2132G06F 18/2185G06F 18/24G06F 18/24147G06N 3/12G06N 20/00G06T 19/006G06F 16/9535G06N 5/045G06N 5/02G06N 5/043G06N 3/126H04L 67/34H04L 67/56G06N 99/007G06N 5/04H04L 67/10G06K 9/6276G06K 9/6267G06K 9/6229G06K 9/6215G06V 10/757G06K 9/6264G06K 9/6298G06K 9/6257G06K 9/6234G06F 18/15
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Claims

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

exact text as granted — not AI-modified
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.

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