MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025669 A) filed by Akula Shravani; Muntha Raju; L Rajitha; Pentam Keerthana; Gadivemula Archana; and Pindi Harish, Hyderabad, Telangana, on March 4, for 'a system and method for detecting unauthorized ai-assistance during online interviews.'
Inventor(s) include Akula Shravani; Muntha Raju; L Rajitha; Pentam Keerthana; Gadivemula Archana; and Pindi Harish.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for detecting unauthorized AI-assisted interventions during online interviews, remote assessments, or digital evaluation processes. With the widespread use of artificial intelligence tools such as virtual assistants, chatbots, and automated response generators, candidates may exploit these technologies to gain an unfair advantage during online evaluations. Such practices compromise the integrity, reliability, and fairness of assessment processes. The proposed invention provides a technological solution that integrates real-time monitoring, behavioral analysis, AI-response detection algorithms, and administrative reporting to ensure the authenticity of candidate responses. The system captures candidate inputs through multiple channels, including typed text, voice responses, and interaction patterns within the online interview platform. A behavioral analysis engine monitors response timing, keystroke dynamics, and linguistic patterns to identify anomalies indicative of AI-assisted activity. An AI-response detection module utilizes machine learning and natural language processing techniques to evaluate the originality, content, and context of responses, enabling real-time identification of potential AI usage. Additionally, a platform monitoring module observes background applications, browser extensions, and system activity to detect unauthorized AI tools operating during the interview. Detected events are reported through an administrative interface that provides real-time alerts, dashboards, and structured reports for evaluators to take appropriate action. The system is scalable, non-intrusive, and adaptable to various online interview platforms, ensuring seamless candidate experience while maintaining robust monitoring and detection. By combining real-time analysis, AI detection, and reporting, the invention enhances the credibility, fairness, and reliability of online interviews and remote assessments, providing organizations and educational institutions with a practical solution to prevent unauthorized AI-assisted interventions."
Disclaimer: Curated by HT Syndication.
