Large language models have revolutionized the way how humans interact with AI systems, transforming a wide range of fields and disciplines. In this talk, I share two distinct approaches to empowering human-AI interaction using LLMs. The first one explores how large language models transform computational social science, and how human-AI collaboration can reduce costs and improve the efficiency of social science research. The second part introduces CARE, an interactive AI agent that supports therapists through LLM-empowered feedback and deliberative practices, as an initial step toward democratizing skill training with AI. These two works demonstrate how human-AI interaction via LLMs can empower individuals and foster positive change.