National AI Policies and Governance
I study how national AI policies address representation, bias, and accountability. My work combines comparative policy analysis with recruiting a more representative research team.
I analyzed national AI policies across more than 60 countries, examining whose perspectives are represented, how bias is addressed, and how accountability is defined in AI governance.
I recruited more than 10 women researchers to broaden participation in the study and bring more perspectives into the research process.
The study combines a global policy census with analysis of political economy, policy review mechanisms, and data sharing. Its design pairs AI-assisted coding with human verification; an open corpus and further comparative analyses are planned.
let’s connect!





























