KAI2 Lab
at UMBC

Advancing the frontiers of artificial intelligence by integrating human knowledge and powerful inference mechanisms to build intelligent systems that reason, learn, and adapt in complex real-world environments.

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Recent Talks

Knowledge-Guided CBT Reasoning in LLMs

Vaishnavi Sinha, Pooja Guttal, Pranay Deep Reddy Katike, Gerald Ndawula
April 2026
University of Maryland, Baltimore County

Large language models often give generic empathy instead of clinically grounded responses. This talk presented a system mapping user messages to CBT components, grounding them in SNOMED-CT, and routing responses through CBT-guided reasoning (validation, Socratic questioning, alternative perspectives), showing improved user sentiment and principle adherence over baseline models.

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Using AI Tools for Lesson Planning

Dr. Manas Gaur
Janurary 2026
University of Maryland, Baltimore County

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.

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