Patents by Inventor Caitlin Messick

Caitlin Messick has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • GENERATING ADAPTIVE TEXTUAL EXPLANATIONS OF OUTPUT PREDICTED BY TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES
    Publication number: 20250124240
    Abstract: The disclosed embodiments include computer-implemented processes that generate adaptive textual explanations of output using trained artificial intelligence processes. For example, an apparatus may generate an input dataset based on elements of first interaction data associated with a first temporal interval, and based on an application of a trained artificial intelligence process to the input dataset, generate output data representative of a predicted likelihood of an occurrence of an event during a second temporal interval. Further, and based on an application of a trained explainability process to the input dataset, the apparatus may generate an element of textual content that characterizes an outcome associated with the predicted likelihood of the occurrence of the event, where the element of textual content is associated with a feature value of the input dataset. The apparatus may also transmit a portion of the output data and the element of textual content to a computing system.
    Type: Application
    Filed: December 20, 2024
    Publication date: April 17, 2025
    Inventors: Yaqiao LUO, Jesse Cole CRESSWELL, Kin Kwan LEUNG, Kai WANG, Atiyeh Ashari GHOMI, Caitlin MESSICK, Lu SHU, Barum RHO, Maksims VOLKOVS, Paige Elyse DICKIE
  • Generating adaptive textual explanations of output predicted by trained artificial-intelligence processes
    Patent number: 12217011
    Abstract: The disclosed embodiments include computer-implemented processes that generate adaptive textual explanations of output using trained artificial intelligence processes. For example, an apparatus may generate an input dataset based on elements of first interaction data associated with a first temporal interval, and based on an application of a trained artificial intelligence process to the input dataset, generate output data representative of a predicted likelihood of an occurrence of an event during a second temporal interval. Further, and based on an application of a trained explainability process to the input dataset, the apparatus may generate an element of textual content that characterizes an outcome associated with the predicted likelihood of the occurrence of the event, where the element of textual content is associated with a feature value of the input dataset. The apparatus may also transmit a portion of the output data and the element of textual content to a computing system.
    Type: Grant
    Filed: November 23, 2021
    Date of Patent: February 4, 2025
    Assignee: The Toronto-Dominion Bank
    Inventors: Yaqiao Luo, Jesse Cole Cresswell, Kin Kwan Leung, Kai Wang, Atiyeh Ashari Ghomi, Caitlin Messick, Lu Shu, Barum Rho, Maksims Volkovs, Paige Elyse Dickie
  • GENERATING ADAPTIVE TEXTUAL EXPLANATIONS OF OUTPUT PREDICTED BY TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES
    Publication number: 20230103753
    Abstract: The disclosed embodiments include computer-implemented processes that generate adaptive textual explanations of output using trained artificial intelligence processes. For example, an apparatus may generate an input dataset based on elements of first interaction data associated with a first temporal interval, and based on an application of a trained artificial intelligence process to the input dataset, generate output data representative of a predicted likelihood of an occurrence of an event during a second temporal interval. Further, and based on an application of a trained explainability process to the input dataset, the apparatus may generate an element of textual content that characterizes an outcome associated with the predicted likelihood of the occurrence of the event, where the element of textual content is associated with a feature value of the input dataset. The apparatus may also transmit a portion of the output data and the element of textual content to a computing system.
    Type: Application
    Filed: November 23, 2021
    Publication date: April 6, 2023
    Inventors: Yaqiao Luo, Jesse Cole Cresswell, Kin Kwan Leung, Kai Wang, Aiyeh Ashari Ghomi, Caitlin Messick, Lu Shu, Barum Rho, Maksims Volkovs, Paige Elyse Dickie