Three AI agents, two countries, and one uneven world wide web
A technology researcher examines how language and cultural context influence the performance and behavior of AI agents when accessing public procurement data. The study compares agentic trajectories across English and Farsi to highlight disparities in transparency and information access.
Why it matters
Understanding how AI agents handle different languages and contexts is critical for ensuring equitable and reliable technology deployment globally.
I’m a technology and human rights researcher. For the past few years, one of my focuses has been the question of how language shapes the ways we benefit from, or are harmed by, AI. I developed an open-source platform for language-pair analysis of LLM responses across different languages and contexts. I’ve also worked on evaluating policy-prompts guardrails and on whether giving LLM guardrails access to tools can make them more reliable and trustworthy (this work was recently accepted to NeurIPS! Yay!!).
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