Yikai Tang
Papers
1
Total Citations
2
H-Index
1
About
Yikai Tang is a pioneering researcher at the intersection of behavioral genetics, evolutionary psychology, and human-AI interaction. His work fundamentally challenges conventional explanations for public resistance to artificial intelligence by probing the biological and genetic roots of technology attitudes. Tang’s most influential study, “Born to Fear the Machine? Genetic and Environmental Influences on Negative Attitudes toward AI Agents” (2025), leverages twin-study methodologies to disentangle hereditary and environmental contributions to AI skepticism. This groundbreaking research reveals that negative attitudes toward AI are not solely shaped by culture or experience but are significantly influenced by genetic predispositions—a finding with profound implications for technology adoption, policy, and design. Although early in its trajectory, the paper has already garnered 2 citations, signaling its growing impact. Tang’s work bridges evolutionary psychology and modern technophobia, suggesting that ancient survival mechanisms may underpin contemporary distrust of autonomous systems. By integrating behavioral genetics into human-computer interaction, Tang opens new avenues for understanding why some individuals are “born to fear the machine,” offering a more nuanced framework for fostering AI acceptance in an increasingly automated world.
Research Focus
Key Achievements
Top Papers
- 1