HEADS to bridge India’s mental healthcare gap with AI

…critical limitation of existing digital health innovations. Most mental health AI tools are built using English-language, urban datasets, rendering them ineffective in diverse, non-English clinical settings, he said. “ In our earlier research, we found that even frontier models cannot understand or translate Indian languages, especially when discussion was about feelings and emotions. HEADS instead builds for Indian languages from day one, developing artificial intelligence that understands clinical conversations in Kannada, Hindi, Bengali, Assamese, and English ,” Dr. Shukla told The Hindu. ‘Human-in-the-loop’ A central principle of the project is a strict ‘human-in-the-loop’ framework, ensuring that AI tools serve purely as supportive clinical decision-aids to help clinicians…