Wenhao Yang

University of North Carolina at Charlotte, Chinese University of Hong Kong, Shenzhen

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About

Wenhao Yang is a pioneering researcher at the intersection of experimental economics and artificial intelligence, focusing on human-machine interaction in financial markets. His work explores how traders integrate automated algorithms into decision-making processes, addressing critical questions about autonomy, trust, and market efficiency. In his landmark study "Humans in charge of trading robots: the first experiment" (2024, 3 citations), Yang conducted groundbreaking experiments where participants could deploy, halt, or replace trading robots at will, revealing how human oversight shapes algorithmic trading outcomes. His earlier paper "For Better or For Worse: Algorithmic Choice in Experimental Markets" (2022, 2 citations) further examines the consequences of compulsory versus voluntary algorithm use, demonstrating that the flexibility to choose—or reject—automation significantly impacts market performance and trader behavior. Yang's contributions are vital for understanding the future of decentralized finance and human-AI collaboration, offering empirical insights into how traders navigate the tension between manual control and algorithmic efficiency. His work is increasingly cited by economists, computer scientists, and policymakers seeking to design robust, human-centered trading systems.