Title: "Human-AI Collaboration, Strategic Narratives, and the Governance of AI: Reframing Trust and Legitimacy in Global Technological Competition"

Author: Luxi Zhang

Abstract: This poster explores how human-AI collaboration is increasingly shaped not only by technological innovation, but also by geopolitical competition, institutional legitimacy, and strategic narratives. Drawing on research into U.S.–China technological competition and global AI governance, the project examines how governments, corporations, and international institutions frame artificial intelligence as both an opportunity and a security concern.

Using qualitative discourse analysis and mixed-methods approaches, the research investigates how AI governance narratives influence policy-making, technological standards, and public trust in human-AI systems. Particular attention is given to the role of strategic communication, cybersecurity governance, and the politics of technological standards in shaping global perceptions of responsible AI.

The project argues that effective human-AI collaboration requires not only technical efficiency, but also legitimacy, transparency, and cross-cultural governance mechanisms. By connecting AI governance with broader debates in international political economy and global security, the poster highlights the importance of interdisciplinary approaches to understanding the future relationship between humans and intelligent systems.