Tunable ai system and models associated therewith based on security clearance level

A method for tuning an artificial intelligence (“AI”) system, the method comprising:

• training the AI system, in a first training step, to identify distinct users and distinct interactions of each respective distinct user, the first training step comprising:
• receiving, at the AI system, datasets related to a plurality of distinct users and a plurality of distinct interactions of each respective distinct user;
• parsing, in a first parsing step by the AI system, the datasets to associate each respective distinct user of the plurality of distinct users with a set of distinct interactions performed by each respective distinct user;
• associating, in a first associating step by the AI system, low, medium and high levels of security clearance with respective distinct interactions in each respective set of distinct interactions;
• and
• storing the associations for each respective distinct user and each respective set of distinct interactions within a database;
• receiving a request by a user to access information;
• prompting the user to initiate a communication with the trained AI system;
• comparing, in a first comparison step by the trained AI system, the communication with each set of distinct interactions, wherein the user is identified as the distinct user of the set of distinct interactions that has the highest matching threshold above a predetermined user matching threshold to the communication;
• comparing, in a second comparison step by the trained AI system, the communication with each respective distinct interaction within the set of distinct interactions associated with the identified distinct user in the first comparison step;
• wherein the level of security clearance is identified as the level of security clearance associated with the respective distinct interaction that has the highest matching threshold above a predetermined distinct interaction matching threshold to the communication;
• and
• prompting the user to access low, medium or high level information based on the respective level of security clearance identified in the second comparison step;
• wherein:
• when the predetermined user matching threshold is not reached the trained AI system prolongs the communication and repeats the first comparison step at predetermined intervals until the predetermined user matching threshold is met or exceeded;
• and
• when the predetermined distinct interaction matching threshold is not reached the trained AI system prolongs the communication and repeats the second comparison step at predetermined intervals until the predetermined distinct interaction matching threshold is met or exceeded.

One or more non-transitory computer-readable media storing computer-executable instructions, which when executed by a processor on a computer system, perform a method for tuning an artificial intelligence (“AI”) system, the method comprising:

• training the AI system, in a first training step, to identify distinct users and distinct interactions of each respective distinct user, the first training step comprising:
• receiving, at the AI system, datasets related to a plurality of distinct users and a plurality of distinct interactions of each respective distinct user;
• parsing, in a first parsing step by the AI system, the datasets to associate each respective distinct user of the plurality of distinct users with a set of distinct interactions performed by each respective distinct user;
• associating, in a first associating step by the AI system, low, medium and high levels of security clearance with respective distinct interactions in each respective set of distinct interactions;
• and
• storing the associations for each respective distinct user and each respective set of distinct interactions within a database;
• monitoring, by the trained AI system, a communication by a user;
• comparing, in a first comparison step by the trained AI system, the communication with each set of distinct interactions, wherein the user is identified as the distinct user of the set of distinct interactions that has the highest matching threshold above a predetermined user matching threshold to the communication;
• comparing, in a second comparison step by the trained AI system, the communication with each respective distinct interaction within the set of distinct interactions associated with the identified distinct user in the first comparison step;
• wherein the level of security clearance is identified as the level of security clearance associated with the respective distinct interaction that has the highest matching threshold above a predetermined distinct interaction matching threshold to the communication;
• and
• prompting the user to access low, medium or high level information based on the respective level of security clearance identified in the second comparison step.