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Designing Explainable Conversational Agentic Systems for Guaraní Speakers
Samantha Adorno, Akshata Kishore Moharir, Ratna Kandala
Although artificial intelligence (AI) and Human-Computer Interaction (HCI) systems are often presented as universal solutions, their design remains predominantly text-first, unders…
Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data
Ashish Kattamuri, Arpita Vats, Harshwardhan Fartale +3
Recursive prompting with large language models enables scalable synthetic dataset generation but introduces the risk of bias amplification. We investigate gender bias dynamics acro…
From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening
Ratna Kandala, Akshata Kishore Moharir, Divya Arvinda Nayak
Explainable Artificial Intelligence (XAI) has been presented as the critical component for unlocking the potential of machine learning in mental health screening (MHS). However, a…
Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation
Ananth Kandala, Ratna Kandala, Akshata Kishore Moharir +2
Mental health communication in India is linguistically fragmented, culturally diverse, and often underrepresented in clinical NLP. Current health ontologies and mental health resou…