My name is Nari (rhymes with "starry") and I am an (incoming!) researcher at Transluce, a nonprofit independent research lab.
My work aims to advance public understanding of AI's capabilities and impacts on society through rigorous, independent evaluations of AI systems that are used by millions of users each week.
I am especially interested in studying ways to invite broader stakeholder participation in to shape highly technical AI evaluation and governance processes.
I recently received my PhD in Machine Learning from Carnegie Mellon University, where I was fortunate to be advised by Hoda Heidari. My dissertation research adopted a multi-disciplinary approach to study the societal impacts of AI systems, drawing on methods from AI, HCI, and policy research. Before that, 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
I recently received my PhD in Machine Learning from Carnegie Mellon University, where I was fortunate to be advised by Hoda Heidari. My dissertation research adopted a multi-disciplinary approach to study the societal impacts of AI systems, drawing on methods from AI, HCI, and policy research. Before that, 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