Patents by Inventor Morgan Foreman

Morgan Foreman 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).

  • Intercepting inadvertent conversational disclosure of personal information
    Patent number: 11663625
    Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.
    Type: Grant
    Filed: February 24, 2022
    Date of Patent: May 30, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Daniel M. Gruen, Nicola Palmarini, Olivia Choudhury, Panagiotis Karampourniotis, Issa Sylla, Morgan Foreman
  • INTERCEPTING INADVERTENT CONVERSATIONAL DISCLOSURE OF PERSONAL INFORMATION
    Publication number: 20220270132
    Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.
    Type: Application
    Filed: February 24, 2022
    Publication date: August 25, 2022
    Applicant: International Business Machines Corporation
    Inventors: Daniel M. Gruen, Nicola Palmarini, Olivia Choudhury, Panagiotis Karampourniotis, Issa Sylla, Morgan Foreman
  • Intercepting inadvertent conversational disclosure of personal information
    Patent number: 11263663
    Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: March 1, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Daniel M. Gruen, Nicola Palmarini, Olivia Choudhury, Panagiotis Karampourniotis, Issa Sylla, Morgan Foreman
  • INTERCEPTING INADVERTENT CONVERSATIONAL DISCLOSURE OF PERSONAL INFORMATION
    Publication number: 20210012374
    Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.
    Type: Application
    Filed: July 11, 2019
    Publication date: January 14, 2021
    Applicant: International Business Machines Corporation
    Inventors: Daniel M. Gruen, Nicola Palmarini, Olivia Choudhury, Panagiotis Karampourniotis, Issa Sylla, Morgan Foreman