Systems and methods for managing privacy of artificial intelligence training data

A system comprising:

• control circuitry configured to:
• receive data associated with interactions of a user with a plurality of applications accessed via a device;
• memory configured to:
• store the data in a database;
• wherein the control circuitry is further configured to:
• calculate a plurality of model weights for an artificial intelligence (AI) model based at least in part on the stored data;
• based at least in part on input received via a user interface of the device to remove a subset of the stored data from the database:
• identify a subset of model weights from the plurality of model weights, wherein the subset of model weights is associated with the subset of the stored data;
• modify the stored data by removing the subset of the stored data from the database, wherein the subset of the stored data is based on interactions of the user with an application of the plurality of applications;
• calculate adjusted model weights for the subset of model weights based at least in part on the modified stored data;
• and
• cause the AI model with the adjusted model weights to provide an output based on input data associated with a subsequent interaction of the user.