Eleanor Tursman is an Emerging Technologies Researcher at The Aspen Institute, where they work at the intersection of novel technologies, public education, and public policy. They are also joining the Siegel Family Endowment as a Research Fellow for 2022-23.
Eleanor is a computer scientist by training invested in bridging the gap between academic research and policy to promote social good. They believe in advancing science-based governance of artificial intelligence and other emerging technologies, tools which—despite their potential benefits—can also be used to disenfranchise and discriminate against minority groups, threaten democracy, and propagate disinformation.
Prior to joining The Aspen Institute, Eleanor served as a TechCongress fellow in the office of Representative Trahan (D-MA-03), providing technical and scientific support for topics including health technology, educational technology, artificial intelligence, algorithmic bias, and data privacy. They also worked as a computer vision researcher at Brown University, with a specialty in 3D imagery and the human face. Their research centered on finding new ways to approach deepfake detection, with a focus on long-term robustness as fake video becomes harder to visually identify.
Eleanor has an M.S. in computer science from Brown University and a B.A. in physics with honors from Grinnell College.