SYSTEM AND METHOD TO IMPLEMENT AI/ML MODELS TO OUTPUT FEEDBACK DATA TO AUTOMATICALLY MITIGATE MICROAGGRESSION

20250077785

18/798119

August 08, 2024

Various methods and processes, apparatuses/systems, and media for generating model-based output feedback data to automatically mitigate microaggression are disclosed. A processor creates a data model based on a diverse dataset encompassing various forms of data corresponding to microaggressions; and trains the data model to identify and respond to microaggressions by implementing artificial intelligence and machine learning techniques with the diverse dataset and corresponding feedback data. The processor also receives a plurality of communication data in connection with various users via a plurality of communication channels; runs the data model to automatically generate feedback data in response to identified microaggression data tailored towards a certain user by analyzing patterns, language nuances, and contextual cues from the communication data; and transmits and displays the feedback data to a computing device via a private communication channel accessed only by the certain user so that the certain user may learn and mitigate identified microaggression.

JPMorgan Chase Bank, N.A. (New York, NY, US)

1. A method for generating model-based output feedback data to automatically mitigate microaggression by utilizing one or more processors along with allocated memory, the method comprising: accessing a database that stores a diverse dataset encompassing various forms of data corresponding to microaggressions across an environment, wherein the environment is provided with a plurality of communication channels for users to communicate with each other; creating a data model based on the diverse dataset; training the data model to identify and respond to microaggressions by implementing artificial intelligence and machine learning techniques with the diverse dataset and corresponding feedback data; receiving a plurality of communication data in connection with various users via said plurality of communication channels; converting the plurality of communication data into a preconfigured text format data; comparing the preconfigured text format data with the diverse dataset to identify that certain text format data in connection with a certain user corresponds to microaggression data; calling an application programming interface to run the data model to automatically generate feedback data in response to the identified microaggression data tailored towards the certain user; transmitting the feedback data to a computing device via a private communication channel accessed by only the certain user; and displaying the feedback data onto a user interface within the computing device so that the certain user may learn and mitigate identified microaggression data.

2. The method according to claim 1, further comprising: retraining the data model with the feedback data.

3. The method according to claim 1, in training the data model, the method further comprising: causing the data model to continuously learn to recognize and categorize micro aggressive behaviors accurately by analyzing patterns data, language nuances data, and contextual cues data from said preconfigured text format data and comparing the patterns data, the language nuances data, and the contextual cues data with the diverse dataset encompassing the various forms of data corresponding to microaggressions.

4. The method according to claim 1, wherein the feedback data to mitigate microaggression includes one or more of the following: recommendations data; constructive feedback data, educational resources data; and intervention strategies data.

5. The method according to claim 1, wherein the diverse dataset includes microaggressions data filtered and grouped together based on geographical regions.

6. The method according to claim 1, in receiving the plurality of communication data, the method further comprising: receiving voice conversation data via a plurality of video conferencing platforms; and converting the voice conversation data into an encrypted text; and decrypting the encrypted text into said preconfigured text format data.

7. The method according to claim 1, in receiving the plurality of communication data, the method further comprising: receiving electronic mail data via an electronic mail platform; and converting the electronic mail data into an encrypted text; and decrypting the encrypted text into said preconfigured text format data.

8. The method according to claim 1, in receiving the plurality of communication data, the method further comprising: receiving chat conversation data via an electronic chat platform; and converting the chat conversation data into an encrypted text; and decrypting the encrypted text into said preconfigured text format data.

9. A system for generating model-based output feedback data to automatically mitigate microaggression, the system comprising: a processor; and a memory operatively connected to the processor via a communication interface, the memory storing computer readable instructions, when executed, causes the processor to: access a database that stores a diverse dataset encompassing various forms of data corresponding to microaggressions across an environment, wherein the environment is provided with a plurality of communication channels for users to communicate with each other; create a data model based on the diverse dataset; train the data model to identify and respond to microaggressions by implementing artificial intelligence and machine learning techniques with the diverse dataset and corresponding feedback data; receive a plurality of communication data in connection with various users via said plurality of communication channels; convert the plurality of communication data into a preconfigured text format data; compare the preconfigured text format data with the diverse dataset to identify that certain text format data in connection with a certain user corresponds to microaggression data; call an application programming interface to run the data model to automatically generate feedback data in response to the identified microaggression data tailored towards the certain user; transmit the feedback data to a computing device via a private communication channel accessed by only the certain user; and display the feedback data onto a user interface within the computing device so that the certain user may learn and mitigate identified microaggression data.

10. The system according to claim 9, wherein the processor is further configured to: retrain the data model with the feedback data.

11. The system according to claim 9, in training the data model, the processor is further configured to: cause the data model to continuously learn to recognize and categorize micro aggressive behaviors accurately by analyzing patterns data, language nuances data, and contextual cues data from said preconfigured text format data and comparing the patterns data, the language nuances data, and the contextual cues data with the diverse dataset encompassing the various forms of data corresponding to microaggressions.

12. The system according to claim 9, wherein the feedback data to mitigate microaggression includes one or more of the following: recommendations data; constructive feedback data, educational resources data; and intervention strategies data.

13. The system according to claim 9, wherein the diverse dataset includes microaggressions data filtered and grouped together based on geographical regions.

14. The system according to claim 9, in receiving the plurality of communication data, the processor is further configured to: receive voice conversation data via a plurality of video conferencing platforms; and convert the voice conversation data into an encrypted text; and decrypt the encrypted text into said preconfigured text format data.

15. The system according to claim 9, in receiving the plurality of communication data, the processor is further configured to: receive electronic mail data via an electronic mail platform; and convert the electronic mail data into an encrypted text; and decrypt the encrypted text into said preconfigured text format data.

16. The system according to claim 9, in receiving the plurality of communication data, the processor is further configured to: receive chat conversation data via an electronic chat platform; and convert the chat conversation data into an encrypted text; and decrypt the encrypted text into said preconfigured text format data.

17. A non-transitory computer readable medium configured to store instructions for generating model-based output feedback data to automatically mitigate microaggression, the instructions, when executed, cause a processor to perform the following: accessing a database that stores a diverse dataset encompassing various forms of data corresponding to microaggressions across an environment, wherein the environment is provided with a plurality of communication channels for users to communicate with each other; creating a data model based on the diverse dataset; training the data model to identify and respond to microaggressions by implementing artificial intelligence and machine learning techniques with the diverse dataset and corresponding feedback data; receiving a plurality of communication data in connection with various users via said plurality of communication channels; converting the plurality of communication data into a preconfigured text format data; comparing the preconfigured text format data with the diverse dataset to identify that certain text format data in connection with a certain user corresponds to microaggression data; calling an application programming interface to run the data model to automatically generate feedback data in response to the identified microaggression data tailored towards the certain user; transmitting the feedback data to a computing device via a private communication channel accessed by only the certain user; and displaying the feedback data onto a user interface within the computing device so that the certain user may learn and mitigate identified microaggression data.

18. The non-transitory computer readable medium according to claim 17, wherein the instructions, when executed cause the processor to further perform the following: retraining the data model with the feedback data.

19. The non-transitory computer readable medium according to claim 17, in training the data model, the instructions, when executed cause the processor to further perform the following: causing the data model to continuously learn to recognize and categorize micro aggressive behaviors accurately by analyzing patterns data, language nuances data, and contextual cues data from said preconfigured text format data and comparing the patterns data, the language nuances data, and the contextual cues data with the diverse dataset encompassing the various forms of data corresponding to microaggressions.

20. The non-transitory computer readable medium according to claim 17, wherein the feedback data to mitigate microaggression includes one or more of the following: recommendations data; constructive feedback data, educational resources data; and intervention strategies data, and wherein the diverse dataset includes microaggressions data filtered and grouped together based on geographical regions.

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