Hi! My name is Nari (rhymes with "
starry") and I am a researcher at
Transluce, a nonprofit independent research lab.
My work at Transluce aims to advance public understanding of AI's capabilities and impacts on society through rigorous,
independent evaluations of AI systems, such as chatbots used by millions of users each week.
I've recently been thinking about how to involve stakeholders with lived experience expertise in designing AI evaluations, and how better measurement might support and empower those impacted by AI.
Some background: I 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.
I also interned at Microsoft Research UK, where I contributed to
Project Volano, an ambitious cross-disciplinary initiative that designed community-informed evaluations of disability representation in AI images.
Before grad school, I graduated from Harvard in 2021 with a BA and MS in Computer Science,
where I worked with
Finale Doshi-Velez.
In college, I volunteered as a
peer mental health counselor, led Harvard Women in Computer Science, authored Harvard CS's first
inclusive teaching training,
and spent many happy hours working as a teaching assistant (most notably, as an
Alex Patel Fellow).
Email: nari at transluce dot org