My research and teaching explore how generative AI transforms sociotechnical systems, with a focus on creativity, decision-making, occupational identity, and ethical design. I study human-AI collaboration across multiple domains: how AI augments group ideation in remote work, how creative communities like fanfiction navigate issues of authorship and authenticity, and how AI-supported decision tools can foster trust in high-stakes fields like emergency medical services. I also examine how AI challenges and reshapes professional identity and agency, as seen in software engineering, where workers must protect their autonomy, competence, and tacit knowledge. Through my course on ethical sociotechnical design, I engage students in addressing the ethical challenges of designing AI systems that affect human creativity, labor, and community life. Across research and education, I aim to advance human-centered principles for the ethical, empowering integration of AI into complex sociotechnical environments.