[Caice-csse] NSF CISE Distinguished Lecture on Zoom, May 1, Dr. Julia Stoyanovich, NYU: “Follow the Data! Responsible AI Starts with Responsible Data Management”

[N Narayanan]

YOU ARE CORDIALLY INVITED TO THE

CISE Distinguished Lecture Series

Dr. Julia Stoyanovich

Institute Associate Professor of Computer Science and Engineering

New York University

May 1, 2025

Time: 11:00AM-12:30PM ET

Register in advance for this webinar:

https://nsf.zoomgov.com/webinar/register/WN_go4UQev5RGmtUqTBvaOwbw<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnsf.zoomgov.com%2Fwebinar%2Fregister%2FWN_go4UQev5RGmtUqTBvaOwbw&data=05%7C02%7Ccaice-csse%40eng.auburn.edu%7C1e7fa3643a814f3f349f08dd7d0ae613%7Cccb6deedbd294b388979d72780f62d3b%7C0%7C0%7C638804207957035659%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rP6IV2tVcYY8F7Qm5bPGpGsWeWG9Crj0qE4oVFa1U7s%3D&reserved=0>



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“Follow the Data! Responsible AI Starts with Responsible Data Management”

ABSTRACT: Incorporating ethics and legal compliance into data-driven algorithmic systems has garnered significant attention from the computing research community. However, much of this work has focused narrowly on the "last mile" of data analysis, overlooking the broader data lifecycle and the full trajectory of system design, development, and use.

BIO: Dr. Julia Stoyanovich is Institute Associate Professor of Computer Science and Engineering, Associate Professor of Data Science, Director of the Center for Responsible AI, and member of the Visualization and Data Analytics Research Center at New York University.  She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), a member of the Computing Research Association (CRA) Future CRA Leaders Program, and a Senior member of the Association of Computing Machinery (ACM). Julia’s goal is to make “Responsible AI” synonymous with “AI”. She works towards this goal by engaging in academic research, education and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public. Julia’s research interests include AI ethics and legal compliance, and data management and AI systems.  In addition to academic publications, she has written for the New York Times, the Wall Street Journal, the LA Times, The Hill, and Le Monde.  Julia has been teaching courses on responsible data science and AI to students, practitioners and the public.  She is a co-author of “Data, Responsibly,” an award-winning comic book series for data science enthusiasts, and “We are AI”, a comic book series for the general audience. Julia is engaged in technology policy and regulation in the US and internationally, having served on the New York City Automated Decision Systems Task Force, by mayoral appointment, among other roles. She received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts at Amherst.  Julia’s work has been generously supported by the US National Science Foundation, Pivotal Ventures and Meta Responsible AI, among others.

Presented by the Directorate for Computer & Information Science & Engineering (CISE)
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