Data Considerations for Responsible Data-Driven Systems

Abstract - Data-driven systems collect, process and generate data from user interactions. To ensure these processes are responsible, we constrain them with a variety of social, legal, and ethical norms. In this talk, I will discuss several considerations for responsible data governance. I will show how responsibility concepts can be operationalized and highlight the computational and normative challenges that arise when these principles are implemented in practice.

Short bio - Asia J. Biega is a tenure-track faculty member at the Max Planck Institute for Security and Privacy (MPI-SP) leading the Responsible Computing group. Her research centers around developing, examining and computationally operationalizing principles of responsible computing, data governance & ethics, and digital well-being. Before joining MPI-SP, Asia worked at Microsoft Research Montréal in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) Group. She completed her PhD in Computer Science at the MPI for Informatics and the MPI for Software Systems, winning the DBIS Dissertation Award of the German Informatics Society. In her work, Asia engages in interdisciplinary collaborations while drawing from her traditional CS education and her industry experience including stints at Microsoft and Google.

https://tu-dortmund.zoom.us/j/98310310263?pwd=WXN1REpxNzBkZmhrenNMUy96MnlMQT09