Simulating Strategic Interactions with AI Agents
Published open access in Strategic Management Journal, this paper introduces a framework for using LLM-based AI agents as synthetic subjects in strategy research.
Research
The Jagged Global Economy: Frontier AI Unevenly Exposes National Economies
We estimate how labor markets in 141 countries are exposed to frontier AI, showing large cross-country variation, gender gaps, adoption correlations, and remittance-linked indirect exposure.
Interpreting and Steering LLM Agents for Social Simulations
We compare prompting, sparse autoencoders, and linear probes for interpreting and controlling LLM agent behavior in social science simulations. SAE-based steering outperforms prompting, offering fine-grained, predictable control over preferences and capabilities.