An Under-Explored Application for Explainable Multimodal Misogyny Detection in code-mixed Hindi-English
PositiveArtificial Intelligence
- A new study has introduced a multimodal and explainable web application designed to detect misogyny in code-mixed Hindi and English, utilizing advanced artificial intelligence models like XLM-RoBERTa. This application aims to enhance the interpretability of hate speech detection, which is crucial in the context of increasing online misogyny.
- The development of this application is significant as it addresses the urgent need for effective tools to combat hate speech on digital platforms, particularly in low-resource languages where such technologies are often lacking.
- This initiative reflects a broader trend in artificial intelligence towards enhancing explainability and fairness, as seen in various recent studies that emphasize the importance of reliable metrics and frameworks in AI governance, particularly in sensitive applications like hate speech detection.
— via World Pulse Now AI Editorial System
