BIFOLD Colloquium - Responsible Data Management
December
20,
2023 
16:00
- 17:00
BIFOLD Colloquium "Responsible Data Management" by Dr. Julia Stoyanovich, New York University
Abstract: Incorporating ethics and legal compliance into data-driven algorithmic systems has been attracting significant attention from the computing research community, most notably under the umbrella of fair and interpretable machine learning. Yet, much of this work has been limited to the "last mile" of data analysis, disregarding both the data lifecycle, and the lifecycle of a system's design, development, and use. In my talk, I will argue that the decisions we make during data collection and preparation profoundly impact the robustness, fairness and interpretability of the systems we build, and that our responsibility for the operation of these systems does not stop once they are deployed. I will discuss technical work, and will place this work into the broader context of policy, education, and public outreach.
Event on-site and virtual. To those who wish to attend the event remotely, we kindly request that you register by sending an email to pr@bifold.berlin.
Bio: Dr. Julia Stoyanovich is 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. 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. She has co-authored over 100 academic publications, and has written for the New York Times, the Wall Street Journal and Le Monde. Julia holds a Ph.D. in Computer Science from Columbia University, She is a recipient of the NSF CAREER Award and a Senior Member of the ACM.
