Patents by Inventor Patrick Emmett O'Donnell

Patrick Emmett O'Donnell 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).

  • Patent number: 10733556
    Abstract: Disclosed is a tasking system to assign individuals to tasks. The tasking system targets a user for the task based information in a user profile such as demographics, background and reputation of the user to perform a task. The tasking system predicts if a user will do a given task well based on a user's background, user's skill, and applied predictive algorithms. The tasking system manages the workflow of the task, assesses the probability of the user's answer being accurate, and continuously optimizes assignment and assessment of the task to improve data quality.
    Type: Grant
    Filed: July 25, 2016
    Date of Patent: August 4, 2020
    Assignee: Mighty AI LLC
    Inventors: Matthew Justin Von Bencke, Angela Beth Hugeback, Yuan Li, Daryn Edward Nakhuda, Patrick Emmett O'Donnell, Matthew Newman Shobe
  • Publication number: 20190385071
    Abstract: Disclosed is a system (and process) for determining the accuracy of computerized tasks in a task batch. The system calculates a number of reviews to assess the accuracy of a task based on a source accuracy and a reviewer accuracy. The source accuracy is based factors calculated by a predictive model, the factors including a historical accuracy of an authoring user. The reviewer accuracy is based on a true positive rate and a true negative rate of one or more reviewers of the task batch. The system transmits sourced tasks to a same number of reviewers. The system collects reviews and assesses if the task passes review based on the collected number of reviews.
    Type: Application
    Filed: August 28, 2019
    Publication date: December 19, 2019
    Inventors: Matthew Justin Von Bencke, Angela Beth Hugeback, Yuan Li, Daryn Edward Nakhuda, Patrick Emmett O'Donnell, Matthew Newman Shobe
  • Publication number: 20170323233
    Abstract: Disclosed is a tasking system to assign individuals to tasks. The tasking system targets a user for the task based information in a user profile such as demographics, background and reputation of the user to perform a task. The tasking system predicts if a user will do a given task well based on a user's background, user's skill, and applied predictive algorithms. The tasking system manages the workflow of the task, assesses the probability of the user's answer being accurate, and continuously optimizes assignment and assessment of the task to improve data quality.
    Type: Application
    Filed: July 25, 2016
    Publication date: November 9, 2017
    Inventors: Matthew Justin Von Bencke, Angela Beth Hugeback, Yuan Li, Daryn Edward Nakhuda, Patrick Emmett O'Donnell, Matthew Newman Shobe
  • Publication number: 20170323211
    Abstract: Disclosed is a system (and process) for determining the accuracy of computerized tasks in a task batch. The system calculates a number of reviews to assess the accuracy of a task based on a source accuracy and a reviewer accuracy. The source accuracy is based factors calculated by a predictive model, the factors including a historical accuracy of an authoring user. The reviewer accuracy is based on a true positive rate and a true negative rate of one or more reviewers of the task batch. The system transmits sourced tasks to a same number of reviewers. The system collects reviews and assesses if the task passes review based on the collected number of reviews.
    Type: Application
    Filed: May 5, 2017
    Publication date: November 9, 2017
    Inventors: Matthew Justin Von Bencke, Angela Beth Hugeback, Yuan Li, Daryn Edward Nakhuda, Patrick Emmett O'Donnell, Matthew Newman Shobe