Who is more likely to use or resist algorithmic advice?

How do our interactions with other people affect our interactions with AI agents?

How do our human stereotypes affect our evaluation of emergent technologies?

Successful digital transformation isn’t just about the code. It’s also about the person using (or avoiding) the novel technology. My research examines the psychological factors that influence the use of and interaction with emergent technologies and their impact on individual and organizational decision-making.

Prior published work

Moore, D. A., Smith, S. A., Minster, A., Mellers, B., Ungar, L. H., Tetlock, P., Yang, H., & Tenney, E. R. (2016). Confidence calibration in a multiyear geopolitical forecasting competition. Management Science, published online: August 22, 2016.

Moore D. A., Carter, A., & Yang, H. (2015). Wide of the mark: Evidence on the underlying causes of overprecision in judgment. Organizational Behavior and Decision Making Processes, 131, 110-120.

What I’m working on now

Yang, H., & Gosline, R. R. Deliberative vs. Intuitive Thinking Precludes Algorithmic Aversion. (Manuscript drafted, eleven studies)

Yang, H. The role of status and gender stereotypes in preference for artificially intelligent agents. (Data Collection in Progress, three studies)

Duhaime, E., & Yang, H. Diverse teams bring greater informational accuracy. (Data Collection in Progress) *indicates shared first-authorship

Yang, H. Inferring mind in a machine: Polite speech humanizes female, but not male, AI agents. (Data Collection in Progress)

Yang, H. & Hehman, E. Quantifying implicit attitudes toward women and careers in political election outcomes. (Data Cleaning in Progress)