MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611066525 A) filed by Manipal University Jaipur on May 27, 2026, for A System And Method For Detecting, Classifying, And Highlighting Hidden Biases In Text Using Artificial Intelligence.
Inventors include Rachit Gupta; and Ms. Babita Tiwari.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a system and method for automatically recognizing multiple types of linguistic bias in written text, classifying them according to their nature, and explaining such occurrences through the use of artificial intelligence. The system comprises a fine-tuned multilingual transformer-based model, preferably XLM-RoBERTa, configured for multi-label classification to generate category-wise bias probability scores. Furthermore, the invention performs token-level interpretability analysis to identify specific words, phrases, or text segments contributing to the detected bias. The disclosed system enables multilingual bias recognition, contextual analysis, and explainable output generation for enhancing fairness, transparency, and responsible use of AI-driven language processing systems across digital communication platforms, content moderation systems, educational tools, and social media applications.
Disclaimer: Curated by HT Syndication.