SYSTEMS AND METHODS FOR TRACKING DATA SHARED WITH THIRD PARTIES USING ARTIFICIAL INTELLIGENCE-MACHINE LEARNING

• Main Authors: BACHELOR, Rod, BENNETT, Jeremy F, BONAT, Michelle, DAO, Tuan
• Format: Patent
• Language: English; French; German
• Published: 16.08.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

Systems, methods, and devices for tracking and managing data shared with third parties are disclosed. In one embodiment, a method including: retrieving data collection and usage policies of an entity; processing the data collection and usage policies with a natural language processing (NLP) model; generating, by the NLP model, predictive data collection and data usage attributes; generating a feature vector from the predictive data collection and data usage attributes; processing the feature vector with a graph neural network; storing data structured as a graph including the entity and the predictive data collection and data usage attributes; and processing the data structured as a graph with a classifier model that labels the entity as a first node in the data structured as a graph and predicts an edge to a second node in the data structured as a graph based on the predictive data collection and data usage attributes.