Ai platform with customizable virtue scoring models and methods for use therewith

Abstract

A system operates by: generating, via a machine that includes at least one processor and a non-transitory machine-readable storage medium and utilizing a graphical user interface, custom survey data in response to user interactions with the graphical user interface; receiving, via the machine and responsive to the custom survey data, survey results data; generating, utilizing machine learning and via the machine, a customized virtue scoring model based on the custom survey data and the survey results data; receiving, via the machine, content data; generating, via the machine and utilizing the customized virtue scoring model, predicted virtue score data associated with the content data; and facilitating display, via the graphical user interface, the predicted virtue score data associated with the content data.

What is claimed is: 
     
         1 . A method comprising:
 generating, via a machine that includes at least one processor and a non-transitory machine-readable storage medium and utilizing a graphical user interface, custom survey data in response to user interactions with the graphical user interface;   receiving, via the machine and responsive to the custom survey data, survey results data;   generating, utilizing machine learning and via the machine, a customized virtue scoring model based on the custom survey data and the survey results data;   receiving, via the machine, content data;   generating, via the machine and utilizing the customized virtue scoring model, predicted virtue score data associated with the content data; and   facilitating display, via the graphical user interface, the predicted virtue score data associated with the content data.   
     
     
         2 . The method of  claim 1 , wherein the customized virtue scoring model includes an artificial intelligence (AI) model that is trained based on at least one of: the custom survey data or the survey results data. 
     
     
         3 . The method of  claim 2 , wherein the AI model includes a responsibility model and the predicted virtue score data indicates a responsibility score that is based on an amount the content data addresses legal or ethical principles. 
     
     
         4 . The method of  claim 2 , wherein the AI model includes an equitability model and the predicted virtue score data indicates an equitability score that is based on an amount of bias in the content data. 
     
     
         5 . The method of  claim 2 , wherein the AI model includes a reliability model and the predicted virtue score data indicates a reliability score that indicates variations in an others virtue scores. 
     
     
         6 . The method of  claim 2 , wherein the AI model includes an explainability model and the predicted virtue score data indicates an explainability score associated with the content data. 
     
     
         7 . The method of  claim 2 , wherein the AI model includes a morality model and the predicted virtue score data indicates a morality score associated with the content data. 
     
     
         8 . The method of  claim 2 , further comprising:
 generating improvement data associated with and the predicted virtue score data.   
     
     
         9 . The method of  claim 1 , wherein the content data is an Artificial Intelligence (AI) model. 
     
     
         10 . The method of  claim 1 , further comprising:
 facilitating selection of the content data from at least one of: an AI model, or a content source.   
     
     
         11 . The method of  claim 1 , wherein the customized virtue scoring model includes an artificial intelligence (AI) model and wherein generating the customized virtue scoring model includes providing access to a plurality of AI analysis widgets to facilitate an evaluation of the AI model. 
     
     
         12 . The method of  claim 11 , wherein the plurality of AI analysis widgets include a plurality of virtue scoring models that predict virtue scores for the AI model associated with a plurality of virtues. 
     
     
         13 . The method of  claim 1 , wherein the customized virtue scoring model includes an artificial intelligence (AI) model and wherein the method further comprises providing access to a version control repository for storing a plurality of versions of a training dataset and a plurality of version of the AI model. 
     
     
         14 . A system comprises:
 a network interface configured to communicate via a network;   at least one processor;   a non-transitory machine-readable storage medium that stores operational instructions that, when executed by the at least one processor, cause the at least one processor to perform operations that include:
 generating, via a machine that includes at least one processor and a non-transitory machine-readable storage medium and utilizing a graphical user interface, custom survey data in response to user interactions with the graphical user interface; 
 receiving, via the machine and responsive to the custom survey data, survey results data; 
 generating, utilizing machine learning and via the machine, a customized virtue scoring model based on the custom survey data and the survey results data; 
 receiving, via the machine, content data; 
 generating, via the machine and utilizing the customized virtue scoring model, predicted virtue score data associated with the content data; and 
 facilitating display, via the graphical user interface, the predicted virtue score data associated with the content data. 
   
     
     
         15 . The system of  claim 14 , wherein the customized virtue scoring model includes an artificial intelligence (AI) model that is trained based on at least one of: the custom survey data or the survey results data. 
     
     
         16 . The system of  claim 15 , wherein the AI model includes a responsibility model and the predicted virtue score data indicates a responsibility score that is based on an amount the content data addresses legal or ethical principles. 
     
     
         17 . The system of  claim 15 , wherein the AI model includes an equitability model and the predicted virtue score data indicates an equitability score that is based on an amount of bias in the content data. 
     
     
         18 . The system of  claim 15 , wherein the AI model includes a reliability model and the predicted virtue score data indicates a reliability score that indicates variations in an others virtue scores. 
     
     
         19 . The system of  claim 15 , wherein the AI model includes an explainability model and the predicted virtue score data indicates an explainability score associated with the content data. 
     
     
         20 . The system of  claim 15 , wherein the AI model includes a morality model and the predicted virtue score data indicates a morality score associated with the content data.