777 plataforma

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—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.

About the speaker

Julia is an Institute Associate Professor of Computer Science and Engineering at the Tandon School of Engineering, Associate Professor of Data Science at the Center for Data Science, and Director of the Center for Responsible Ai. 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, 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 “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.

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 777 plataforma, will host Professor Julia Stoyanovich of Tandon School of Engineering.

Registration is required but free of charge.