Patents by Inventor Zonunfeli Ralte

Zonunfeli Ralte 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).

  • Method and system for assessing risk associated with AI models
    Patent number: 12632565
    Abstract: Methods and systems for assessing risk associated with Artificial Intelligence (AI) models are provided. The method includes receiving a risk parameter among a plurality of risk parameters used for assessing an AI model, from a user associated with the AI model. Further, the method includes generating a preset questionnaire including a plurality of questions corresponding to the risk parameter. Furthermore, the method includes receiving user response data and corresponding evidence data against each of the plurality of questions from the user. The user response data is validated by correlating the user response data with the corresponding evidence data. The validated user response data is compared with preset response data corresponding to each of the plurality of questions. Thereafter, the method includes generating a report including a risk score indicating a risk associated with the AI model corresponding to the risk parameter, using a learning model, based on the comparison.
    Type: Grant
    Filed: March 15, 2024
    Date of Patent: May 19, 2026
    Assignee: ZENSAR TECHNOLOGIES LTD.
    Inventors: Indrajit Kar, Zonunfeli Ralte, Varsha Gupta, Ankush Rathore
  • METHOD AND SYSTEM FOR ASSESING RISK ASSOCIATED WITH AI MODELS
    Publication number: 20250291931
    Abstract: Methods and systems for assessing risk associated with Artificial Intelligence (AI) models are provided. The method includes receiving a risk parameter among a plurality of risk parameters used for assessing an AI model, from a user associated with the AI model. Further, the method includes generating a preset questionnaire including a plurality of questions corresponding to the risk parameter. Furthermore, the method includes receiving user response data and corresponding evidence data against each of the plurality of questions from the user. The user response data is validated by correlating the user response data with the corresponding evidence data. The validated user response data is compared with preset response data corresponding to each of the plurality of questions. Thereafter, the method includes generating a report including a risk score indicating a risk associated with the AI model corresponding to the risk parameter, using a learning model, based on the comparison.
    Type: Application
    Filed: March 15, 2024
    Publication date: September 18, 2025
    Inventors: Indrajit Kar, Zonunfeli Ralte, Varsha Gupta, Ankush Rathore