Talks
Explore past presentations and upcoming talks by members of the KAI2 Lab, showcasing our research and insights in Knowledge Infused AI.
Past Talks
Using AI Tools for Lesson Planning
Teachers are often confused how to use AI tools for lesson planning. This talk provided a practical guide for educators on leveraging AI tools to create engaging and effective lesson plans. It covered prompt engineering techniques, best practices for integrating AI into the classroom, and real-world examples of AI-assisted lesson planning.
Making Generative AI Trustworthy for Mental Health
Presentation at the India Management Research Conference (IMRC) 2025, hosted by the Brij Disa Centre for Data Science and AI at IIM Ahmedabad. The talk explored Neurosymbolic AI methodologies for establishing consistency, reliability, and safety in high-stakes mental health applications.
Towards Knowledge-aware Learning for Mental Health Communications
Lecture Series hosted by Prof. Sriraam Natarajan. Covered Statistical and Semantic AI approaches for mental health communications, focusing on knowledge-infused learning frameworks.
Robustness in Large Language Models with NeuroSymbolic AI
Presented Knowledge-infused AI for Healthcare at Indraprastha Institute of Information Technology with Dr. Raghava Mutharaju, and 'AI for Social Good' at LNM Institute of Information Technology.
Trustworthy Generative AI for Mental Health
Series of talks including 'Knowledge-infused Learning in Healthcare' at PyData Salamanca and Berlin. Also featured NEURONE: NEURo-symbolic AI presentation at ACM AI ML Systems Conference.
The Hybridization of LLMs with NeuroSymbolic AI
Knowledge-enhanced Machine Learning presentation at AI Center, Samsung Research America. Included keynote on Process Knowledge-infused AI at the Winter School for Knowledge Graph and Semantic Web.
Knowledge-aware Learning for Mental Health Communications
Psychdemic: Measuring Spatio-Temporal Psychological Impact of Novel Coronavirus presented at MIT Tech Review. Also presented Knowledge-infused AI for Healthcare at University of South Carolina.
AI for Social Good: Characterization of Web Communications
Topics included Personalized Book-keeping and Knowledge-infused Reinforcement Learning. Featured tutorial on Process Knowledge-infused Learning for Explainable Mental Healthcare.