Expanding our team at AI Now


April 26, 2019

Over the past year we’ve grown from a team of 6 to a team of 20 people who have been doing groundbreaking research. Our recent publications include: Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice, Discriminating Systems: Gender, Race, and Power in AI, and Anatomy of an AI System.

We’re happy to introduce our newest members to our research community and share a bit about what they will be working on.

Theodora Dryer will join AI Now as a Postdoctoral Associate in September 2019. She is a historian of technology and computing and a feminist STS scholar. Theo earned her doctoral degree from the University of California, San Diego’s Department of History and Science Studies Program; her research examines automated decision-making systems with a focus on questions of environmental and racial justice. Her work has been supported by the IEEE, the Charles Babbage Institute, the Consortium for the History of Science, Technology, and Medicine, and the American Philosophical Society, and published in venues such as IEEE Annals of the History of Computing.

Erin McElroy will also join AI Now as a Postdoctoral Associate this fall. They earned their doctoral degree in Feminist Studies from the University of California, Santa Cruz. Their research at AI Now will examine the use of AI in property management and tenant control, considering its implications for gentrification and the way these manifest for different populations across class, race, gender and other identities. Erin is the cofounder of the Anti-Eviction Mapping project and co-founder and editor of the new peer-reviewed Radical Housing Journal and will continue their work bringing together researchers and organizers engaged in issues addressing smart cities and tech campuses and artificial intelligence property technology, or ‘proptech.’

We’re also looking forward to welcoming Ben Green as a Research Fellow at AI Now and Visiting Research Fellow at NYU’s Technology Law & Policy Clinic. Ben is a PhD Candidate in Applied Math at the Harvard School of Engineering and Applied Sciences, an Affiliate at the Berkman Klein Center for Internet and Society at Harvard, and the author of The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future. Ben won the Best Technical and Interdisciplinary Paper Award at FAT* 2019, for a paper co-authored with Yiling Chen.