Abstract:

To be fully responsible, information access systems should account for a variety of social, legal, and ethical principles. These principles apply not only to the underlying algorithms, but also other system facets, including data and user interfaces. In this talk, I will discuss a few responsibilty concepts which are currently driving our research, including data minimization, nudging, and digital well-being.

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 consulting and engineering stints at Microsoft, Google and in e-commerce.

If you are planning to participate virtually, please register in zoom by the link:

https://uofglasgow.zoom.us/meeting/register/tJ0oceGupjkjH9ylCY_eItc3Ua7AfUaxk2Di