About this event
We’re excited to invite you to our upcoming CISE distinguished lecture with the inspiring Julia Stoyanovich, PhD! She’s an Associate Professor at NYU, leading in Computer Science & Engineering, Data Science, and Responsible AI. Don’t miss this fantastic opportunity to learn from her insights and expertise!
Bio:
Dr. Julia Stoyanovich is the Institute Associate Professor of Computer Science and Engineering, Associate Professor of Data Science, and Director of the Center for Responsible AI (https://r-ai.co) at New York University. Her mission is to make “Responsible AI” synonymous with “AI.” She pursues this goal through academic research, education, technology policy, and public engagement, regularly speaking about both the benefits and the risks of AI. Her research spans data management and AI systems, as well as the ethics and governance of AI.
Julia holds an M.S. and Ph.D. in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts Amherst. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and is a Senior Member of the Association for Computing Machinery (ACM).
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. Decisions made during data collection and preparation have a profound impact on the accuracy, robustness, fairness, and interpretability of the systems we build—and that our responsibility for these systems extends well beyond their deployment. This talk will highlight how technical choices are deeply intertwined with ethical and normative considerations and situate this technical work within the broader contexts of AI governance, education, and public engagement.
Zoom Information
Topic: Follow the Data! Responsible AI Starts with Responsible Data Management
Register in advance for this webinar:
https://nsf.zoomgov.com/webinar/register/WN_go4UQev5RGmtUqTBvaOwbw
After registering, you will receive a confirmation email containing information about joining the webinar.