CIIR Talk Series

Title: Operationalizing legal and societal constraints in information access systems

Abstract: Data protection laws such as GDPR (EU's General Data Protection Regulation) define requirements for respectful processing of user data. Many of these requirements, however, lack specific computational interpretations. In this talk, I will discuss our recent research focusing on the GDPR principles of data minimization, fairness, and transparency in the context of information access systems. We propose models that operationalize the aforementioned principles and quantitatively demonstrate some of the practical challenges and impacts the implementation of those requirements might have on the digital ecosystem.

Bio: Asia J. Biega is a tenure-track faculty member at the Max Planck Institute for Security and Privacy. Through interdisciplinary collaborations, she designs legally, ethically, and socially responsible information access and social computing systems. Before joining MPI-SP, Asia was a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) Group at Microsoft Research Montreal. She completed her PhD at the MPI for Informatics and the MPI for Software Systems, winning the 2021 DBIS dissertation award of the German Informatics Society. Asia's industry experience includes work on privacy infrastructure at Google and consulting for Microsoft product teams on issues related to FATE and privacy.

To attend this talk via Zoom, click here. Participants will need a passcode to attend this event. If you need the passcode for this series, please see the event advertisement on the seminars email list or reach out to Alex Taubman. For any other questions about this event with the Center for Intelligent Information Retrieval, please contact Jean Joyce.