Responsible AI Symposium
Duke University
Feb 28 - Mar 1 2025
The Responsible AI Symposium, co-sponsored by The Society-Centered AI Initiative at Duke, the Duke Artificial Intelligence Master of Engineering, Duke AI Health, the Duke Office of Climate and Sustainability, and the Coach K Center for Leadership and Ethics (COLE), will bring together industry and academic leaders, researchers, and students to discuss emerging trends in society-centered AI and responsible AI.
The event will consist of industry and academic keynote talks, spotlight research talks, and a poster session to share new ideas in the development of Responsible AI. Saturday's SCAI Summit will be an opportunity to explore the myriad of ways in which AI will influence human behavior and how social factors will shape the future of AI technology.
Featured Speakers
Yann LeCun
Meta FAIR & New York University
Yann LeCun is Chief AI Scientist at Meta and a Professor at NYU. He was the founding Director of Meta-FAIR and of the NYU Center for Data Science. After a PhD from Sorbonne Université and research positions at AT&T and NEC, he joined NYU in 2003 and Meta in 2013. He received the 2018 ACM Turing Award for his work on AI. He is a member of the US National Academies and the French Académie des Sciences.
Cynthia Rudin
Duke University
Dr. Cynthia Rudin is the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science at Duke University. She directs the Interpretable Machine Learning Lab, and her goal is to design predictive models that people can understand. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (the "Nobel Prize of AI"). She received a 2022 Guggenheim fellowship, and is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the Association for the Advancement of Artificial Intelligence.
Nathan Matias
Cornell University
Dr. J. Nathan Matias is a Guatemalan-American assistant professor at Cornell University's Departments of Communication and Information Science, where he directs the Citizens & Technology Lab. His research focuses on digital governance and behavior change in networks shaped by AI systems, combining insights from social psychology and computer science. Through citizen behavioral science, he collaborates with the public to promote evidence-based and accountable digital power. Dr. Matias is also a co-founder and executive committee member of the Coalition for Independent Technology Research.
Emily Wenger
Talk: Reclaiming Data Agency in the Age of Ubiquitous Machine Learning
Dr. Emily Wenger researches security and privacy issues related to machine learning models. Currently, she is an Assistant Professor of Electrical and Computer Engineering and Computer Science at Duke University, and before that was a Research Scientist at Meta AI. She graduated with her PhD from the University of Chicago in 2023. Dr. Wenger's research has been featured by numerous media outlets including CNN, NBC, the New York Times, and the BBC, and she has received several awards, including a GFSD fellowship, Siebel Scholarship, and the University of Chicago Harper Dissertation award. She was named to the 2024 Forbes 30 under 30 list for her work on Glaze, a tool that protects artists' work from unwanted use in generative AI models.
Monica Agrawal
Talk: Responsible natural language processing in medicine
Dr. Monica Agrawal is an assistant professor at Duke University, jointly appointed between the Department of Biostatistics and Bioinformatics and the Department of Computer Science. Her research tackles diverse challenges including scalable clinical information extraction, smarter electronic health records, and human-AI interaction. She has been named a Duke Whitehead Scholar, a Rising Star in EECS, and a finalist for the AMIA Doctoral Dissertation award. Dr. Agrawal earned her PhD in Computer Science at MIT in 2023 and is also a co-founder of Layer Health.
Ashley Harrell
Talk: Evidence of spillovers from (non)cooperative human-bot to human-human interactions
Ashley Harrell is Assistant Professor of Sociology (and Psychology and Neuroscience, by courtesy) at Duke University. Her research explores the structural and social-psychological determinants of cooperation, collective action, and prosocial behavior. She leads the Sociological Study of Cooperation (SSoC) Lab at Duke. She was previously Assistant Professor of Organizational Studies at the University of Michigan and received her PhD from the University of South Carolina in 2017.
Jon Green
Talk: Using Interviewing Agents to Reconsider Public Opinion
Jon Green is an Assistant Professor of Political Science at Duke University. His research concerns public opinion and political behavior in the United States, with a focus on the micro- and macro-foundations of political belief systems. He received his Ph.D. from the Ohio State University in 2020, and prior to joining Duke was a Senior Research Scientist at the Network Science Institute at Northeastern University.
More speakers to be announced.