Biplav to give a talk, 'From MIA to Becoming Essential: Using Human-Inspired Computing to Help AI Earn Human Trust for Societal Problems' at North Carolina State University, Raleigh, NC on 25 April 2025.

Biplav to give a talk, 'Beyond Trustworthy Machine Learning: Using Human-Inspired Computing to Help AI Earn Trust for Societal Problems' at CSIRO - Commonwealth Scientific and Industrial Research Organisation (virtually) on 16 April 2025.

Our paper, 'Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation' is accepted at TrustNLP workshop in NAACL 2025.

Our paper, 'Revisiting LLMs in Planning from Literature Review: a Semi-Automated Analysis Approach and Evolving Categories Representing Shifting Perspectives' is accepted at ICAPS 2025 (AR=22.8%).

PhD dissertation - Likitha successfully defended on the topic Building Trustable Methods for Group Recommendations: Advancing Fairness and Robustness Across Domains, (Friday, Feb 14).

A prestigious recognition received - (VAIBHAV - announcement) for work in summer with IIT-BHU on using AI and sensors for recommending and monitoring Yoga asanas; was 1 among 17 selected from 216 competing globally (2025-2028).

Our point of view (POV), on DeepSeek R1, the new AI Large Language Model (LLM) from DeepSeek (Feb 2, 2025).