Patent ID: 11915179
Assignee: TALISAI INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method comprising:
generating, using one or more computer processors of an AI platform, one or more sub-contexts associated with a plurality of users from one or more data sources, the one or more sub-contexts representing one or more changes in data that are relevant to assessing one or more risks associated with the plurality of users;
providing the one or more sub-contexts as training data to a plurality of machine-learning models;
generating a plurality of probabilistic assessments for each of the plurality of users based additional data received in real time, the plurality of probabilistic assessments including a first probabilistic assessment and a second probabilistic assessment, the first probabilistic assessment being from one or more deterministic models, the second probabilistic assessment being from the plurality of machine-learning models; and
based on a difference between the first probabilistic assessment of the plurality of probabilistic assessments for a user of the plurality of users and the second probabilistic assessment of the plurality of probabilistic assessments for the user being outside a tolerated range, causing presentation of a user interface to allow selection of the first probabilistic assessment or the second probabilistic assessment or, based on the difference being less than a threshold, applying a confidence boost factor to the second probabilistic assessment; and
providing the selection or the confidence boost factor as additional training data for the plurality of machine-learning models.