Investigating the Utility of LLM-Based ‘Silicon Samples’ in Political Science Conjoint Experiments

• In Event: Machine Learning Applications

Brief Overview

I investigate the utility of using LLM-based ‘silicon samples’ to simulate live human respondents in conjoint experiments, finding that zero-shot prompting strategies alone are insufficient to simulate human decision making.

Author

• Alice Marie Malmberg, University of California, Davis