MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017355 A) filed by Sr University, Warangal, Telangana, on Feb. 17, for 'an ai-assisted framework for analyzing skin-tone representation and discriminatory narratives in indian matrimonial, employment, and maternal advertising media.'
Inventor(s) include G. Indraja; and Dr. Nikita Anand.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to the development of an AI-based framework that aims to systematically examine skin tone representation and biased narratives in print, online, and television advertisements. The framework combines computer vision algorithms for skin tone detection, natural language processing for semantic and sentiment analysis, and bias quantification metrics to detect both explicit and implicit color biases. A carefully constructed multimodal dataset of Indian advertisements is analyzed through deep learning algorithms to automatically extract visual, linguistic, and contextual information associated with fairness, opportunity, and maternal ideals. The framework also includes explainable AI components to ensure interpretability and ethical accountability of the results. Experimental results show the efficacy of the framework in detecting frequent biases, stereotyping patterns, and regional differences in representation. The proposed framework can benefit policymakers, researchers, and advertising media regulators by providing a data-driven platform for the assessment of discriminatory advertising."
Disclaimer: Curated by HT Syndication.
