The Truth of the Matter in the Age of Generative AI
Join Soc(AI)ety Seminars, for a discussion with Tina Eliassi-Rad, the Inaugural Joseph E. Aoun Professor at Northeastern University, about the challenges of generative AI tools, and how we should consider the challenges of governance of these tools as technology continues to change rapidly.
Experience the Event
Presented by The Lucy Family Institute for Data & Society
Join Soc(AI)ety Seminars, for a discussion with Tina Eliassi-Rad, the Inaugural Joseph E. Aoun Professor at Northeastern University, about the challenges of generative AI tools, and how we should consider the challenges of governance of these tools as technology continues to change rapidly.
Soc(AI)ety Seminars, hosted by the Lucy Family Institute for Data & Society, are a collection of talks with a vision for AI’s present and future impact on society and inspire a dialogue on ethical and socially responsible data & AI innovation.
To learn more about the Lucy Family Institute for Data & Society, please visit: lucyinstitute.nd.edu.
Meet the Speaker: Tina Eliassi-Rad
Tina Eliassi-Rad is a Professor of Computer Science and The Inaugural Joseph E. Aoun Chair at Northeastern University. She is also a core faculty member at Northeastern’s Network Science Institute. In addition, she is an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a member of technical staff and principal investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection of data mining, machine learning, and network science. She has over 150 peer-reviewed publications (including a few best paper and best paper runner-up awards); and has given over 300 invited talks and 14 tutorials. Tina’s work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, drug discovery, democracy and online discourse, and ethics in machine learning. Her algorithms have been incorporated into systems used by governments and industry (e.g., IBM System G Graph Analytics), as well as open-source software (e.g., Stanford Network Analysis Project). Tina received an Outstanding Mentor Award from the U.S. Department of Energy’s Office of Science in 2010, became an ISI Foundation Fellow in 2019, was named one of the 100 Brilliant Women in AI Ethics in 2021, received Northeastern University’s Excellence in Research and Creative Activity Award in 2022, was awarded the Lagrange Prize in 2023, and was elected Fellow of the Network Science Society in 2023.