Research Areas

AI has vast potential in transforming education by personalizing learning experiences, automating administrative tasks, and providing real-time feedback. By analyzing student data, AI can adapt content to suit individual learning styles, helping students progress at their own pace. In addition, AI-powered tools can assist teachers by grading assignments, identifying students who may need extra support, and offering recommendations for improvement. As AI continues to evolve, its applications could revolutionize how educators design curriculums, enhance student engagement, and improve learning outcomes across diverse educational settings.

We conduct research on responsible and ethical practices in NLP which are fundamental to fostering trust, safeguarding user rights, and mitigating potential harm. Responsible NLP encompasses a range of principles and practices to ensure the ethical use of language data and models. This includes implementing robust data governance frameworks to protect user privacy and confidentiality, incorporating mechanisms for informed consent and transparent communication regarding data collection and usage, and actively addressing biases and disparities inherent in NLP algorithms. We collaborate with several NGOs and other organizations to develop ethical and responsible NLP frameworks for developing applications that mitigate potential harm.