黑料福利网

Topic 

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. Decisions made during data collection and preparation have a profound impact on the accuracy, robustness, fairness, and interpretability of the systems we build鈥攁nd 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.

About the speaker

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 at New York University.  She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE). Julia's goal is to make 鈥淩esponsible AI鈥� synonymous with 鈥淎I.鈥� 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鈥檚 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, and Le Monde.  Julia has been teaching courses on responsible data science and AI to students, practitioners and the general public.  She is a co-author of 鈥淒ata, Responsibly鈥�, an award-winning comic book series for data science enthusiasts, and 鈥淲e are AI鈥�, 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.

Julia 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. She is a recipient of the NSF CAREER Award and a Senior Member of the ACM.

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Your host

Mykola Pechenizkiy, Full Professor at the department of Mathematics and Computer Science of the 黑料福利网.

He will host Professor Julia Stoyanovich of , , and .

Registration is required but free of charge.