Qingwen Ding
Papers
1
Total Citations
2
H-Index
1
About
Qingwen Ding is a pioneering researcher at the intersection of behavioral genetics, evolutionary psychology, and human-AI interaction. Her work fundamentally challenges conventional explanations for public resistance to artificial intelligence by probing the biological roots of technological skepticism. In her landmark study, "Born to Fear the Machine? Genetic and Environmental Influences on Negative Attitudes toward AI Agents" (2025), Ding demonstrates that individual differences in AI aversion are shaped not only by environmental factors but also by heritable predispositions—a finding that bridges evolutionary psychology with modern technology acceptance research. This work, already garnering attention with early citations, repositions the debate from purely sociological to biocultural frameworks. Ding’s contributions extend beyond theory; she provides empirical evidence that our ancestral survival mechanisms may influence contemporary responses to non-human agents, offering critical insights for AI developers and policymakers seeking to foster public trust. By integrating twin-study methodologies with cutting-edge AI attitude surveys, she has opened a new frontier in understanding the deep-seated origins of technophobia. Her research holds profound implications for designing AI systems that align with human cognitive and emotional architectures.
Research Focus
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Top Papers
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