Machine Learning @ Walmart Global Tech | Generative AI, Responsible AI Framework, Enterprise LLM Agents
Building effective mental health support tools with LLMs requires a deep understanding of cultural context, tailored to the needs of each country or culture. For instance, addressing mental health challenges in India demands sensitivity to its rich diversity and unique social frameworks. Current AI systems show a notable cultural disconnect that significantly impacts their effectiveness in mental health support. Excited to explore these aspects while collaborating with the People+ai team on Project Sukoon, a non-profit mental health initiative focused on building LLM chatbot as mental health therapist. This article is an initial exploration with goal to start discussion and call out for NPOs, NGOs and other civic organizations to join this initiative by contributing culturally rich data to build more reliable LLMs for Indian ecosystem. To learn more about Project Sukoon or to get involved in building culturally-aware AI for mental health: https://lnkd.in/gP8KQyuk #ArtificialIntelligence #HealthTech #GenAI #AIforIndia #OpenSource
The increasing use of LLMs for more nuanced, subjective tasks reveals its blindspots when it comes to cultural awareness and intelligence. This is especially apparent in Indian contexts, where value systems diverge so distinctly from the West. Excited to share this piece exploring these cultural constraints + charting a path forward for more culturally intelligent AI Ved Upadhyay and Ambica Ghai https://lnkd.in/dqs5WFBk
Digital Health | Ex Goldman Sachs, BofA
3wReally enjoyed writing this one with you! Hoping it spurs some more action in the subject