My name is Nari (rhymes with "starry") and I am a fourth-year PhD student in Carnegie Mellon University's Machine Learning Department, where I'm advised by Hoda Heidari.

I do interdisciplinary research that examines the societal impacts of AI systems. My work draws from theories and methods from AI/ML, HCI, design, and policy.

My current areas of interest include:

• Cultural evaluation and measurement for generative AI systems (preprint, workshop paper). How do large pretrained models represent communities who are historically underrepresented in media? How might errors of representation be described and measured?
• Supporting U.S. local governments in governing public sector AI (FAccT 2025). What is unique about governments' position as purchasers who must procure externally-developed AI? How might responsible AI considerations be embedded into governments' existing purchasing practices?

Previously, I graduated from Harvard in 2021 with a BA and MS in Computer Science, where I worked with Finale Doshi-Velez. I've also interned at Microsoft Research UK on the Teachable AI Experiences Team.

Email: narij at andrew dot cmu dot edu