Chancellor builds and critically evaluates human-centered artificial intelligence (AI) for high-risk health behaviors in online communities. Using machine learning, she uses digital trace data from millions of interactions on social media to identify high-risk behaviors. At the same time, she critically evaluates these predictive approaches and develops more ethical and compassionate research practices for computer science. She is especially interested in dangerous behaviors like pro-eating disorder, opioid use disorder and recovery, and suicidal ideation and crisis.
Ph.D. in Human-Centered Computing, Georgia Institute of Technology (2019) M.A. in Communication, Culture and Technology, Georgetown University (2014) B.A. in Media Studies, University of Virginia (2012)
Stevie Chancellor joined the Department of Computer Science & Engineering in 2021 as an assistant professor. She received her M.A. (2014) in communication, culture and technology from Georgetown University and her Ph.D. (2019) in human-centered computing from the Georgia Institute of Technology. Chancellor received Best Paper Honorable Mentions in 2016, 2018, 2019, and 2022 for her publications. Prior to her time at the University, she was a postdoctoral researcher at Northwestern University from 2019-21.
Selected Grants Safe and Compassionate ML Recommendations for People with Mental Illnesses Chancellor, S., Terveen, L.; Northwestern Center for Assessing the Safety of Machine Intelligence, 2023-2024
Beyond the Individual: Community-Engaged Design and Implementation of a Framework for Ethical OnlineCommunities Research Yarosh, L., Chancellor, S., Konstan, J. A., Lu, K. & Terveen, L. G.; National Science Foundation; 1/1/23 - 12/31/25
Detecting and Reducing Bias in Collaborative Virtual Meetings Chancellor, S. & Terveen, L. G.; CISCO SYSTEMS; INC, 7/1/21 - 5/31/23