Data Nutrition Project

The Data Nutrition Project (DNP) empowers data scientists and policymakers with practical tools to confront issues of bias in Artificial Intelligence.  I am the tech lead and workshop lead for the project - I facilitate the development of tools for data scientists to address issues of bias, and the development of workshops on demystifying how AI works for people of all ages.

DNP was the winner of the Ars Electronica Award for Digital Humanity in 2022.

MIT RAISE Day of AI

As part of the MIT RAISE team, I develop curricula for middle school and high school students for the newly created Day of AI initiative. I also design and facilitate teacher trainings for the initiative, through which I have had the opportunity to work with over 100 educators from across the globe.

The Assembly Program

In early 2018, I participated in a semester-long program called Assembly, facilitated by the MIT Media Lab and the Berkman Klein Center at Harvard Law School. This program focused on exploring unanswered questions in the ethics and governance of AI.

My group's project focused on the problem of AI-enabled systems perpetuating systemic bias. Our theory of change was to build relationships between technologists – engineers, designers, etc. – and activists. We called our project AI-in-the-loop.