Patents by Inventor Michael Alan Frey

Michael Alan Frey 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).

  • Publication number: 20260155148
    Abstract: Techniques for generating and outputting a natural language explanation of a determination made by a system are described. The system presents content to a user, where the content is generated based on a system determination. The system determines history data associated with a user profile associated with the user and context data associated with the system determination. The system uses the history data and the context data to determine a natural language explanation that the output was generated based on the system determination. The system further uses the history data and the context data to generate a predicted system determination representing the system determination that resulted in the output presented to the user. Based on a similarity between the predicted system determination and the actual system determination, the natural language explanation is presented to the user.
    Type: Application
    Filed: January 28, 2026
    Publication date: June 4, 2026
    Inventors: Zheng Chen, Chen Tong, Xing Fan, Michael Alan Frey, Daniel Grace, Jie Hao, Ziyan Jiang, Chenlei Guo, Aram Galstyan, Yang Liu, Pradeep Natarajan
  • Patent number: 12562162
    Abstract: Techniques for generating and outputting a natural language explanation of a determination made by a system are described. The system presents content to a user, where the content is generated based on a system determination. The system determines history data associated with a user profile associated with the user and context data associated with the system determination. The system uses the history data and the context data to determine a natural language explanation that the output was generated based on the system determination. The system further uses the history data and the context data to generate a predicted system determination representing the system determination that resulted in the output presented to the user. Based on a similarity between the predicted system determination and the actual system determination, the natural language explanation is presented to the user.
    Type: Grant
    Filed: March 31, 2023
    Date of Patent: February 24, 2026
    Assignee: Amazon Technologies, Inc.
    Inventors: Zheng Chen, Chen Tong, Xing Fan, Michael Alan Frey, Daniel Grace, Jie Hao, Ziyan Jiang, Chenlei Guo, Aram Galstyan, Yang Liu, Pradeep Natarajan