"I’ve been diving deep into groundbreaking research on community health worker (CHW) perceptions of AI applications in rural India. The truth is more complex than the rosy predictions flooding our sector about artificial intelligence transforming global health. The findings expose a troubling gap between our industry’s AI enthusiasm and the reality of deploying these tools with frontline health workers who will actually use them. That study examines Communty Health Workers'responses to AI-enabled diagnostic tools, and it revealed that participants had very low levels of AI knowledge and often formed incorrect mental models about how these systems work. When CHWs watched a video of an AI app diagnosing pneumonia, many assumed: generative AI worked the same way as human brains; or it was simply counting symptoms like heartbeats and breathing patterns. Current data says that 75% of healthcare workers express enthusiasm about AI integration, but enthusiasm without understanding creates dangerous vulnerabilities. The research from rural Uttar Pradesh shows CHWs trusted AI applications almost unconditionally, with one participant stating: “The app is trustworthy. This works like a screening machine. The app is a machine, hence it is trustworthy.” This utopian view of AI technology is deeply concerning when we consider the stakes. With 4.5 billion people lacking access to vital healthcare services and a predicted health staff deficit of 11 million by 2030, CHWs serve as critical gatekeepers for health interventions." (Introduction)