Seminar on algorithmic bias, discrimination and fairness 

Speakers:

PhD student Nina Grgic-Hlaca (Max Planck Institute for Software Systems and the Max Planck Institute for Research on Collective Goods).

Nina Grgić-Hlača is co-advised by Krishna P. Gummadi and Christoph Engel. Prior to joining the Max Planck Institutes, she obtained an MA in Information Science and Philosophy from the University of Zagreb, Croatia. In her research, Nina studies the interaction between humans and machine learning based systems. Her research focuses on two main topics: algorithmic fairness, and machine-assisted decision-making.

and

Senior researcher Michele Loi (Institute of Biomedical Ethics of the University of Zurich and at the Digital Society Initiative, University of Zurich).

Michele Loi's background is in political theory. Lately he has been spending a lot of time discussing what is fair with computer scientists.  Michele Loi has received a grant from the Swiss National Science Foundation and another grant from INNOSUISSE (the state agency for industrial innovation) on the choice of fairness definitions in the field of algorithmic fairness, respectively in the Human Resources and insurance domain.

Event: CEPDISC seminar series

Venue: Zoom

If you are not a CEPDISC fellow please sign up for participation by writing an email to maj.carlsen@ps.au.dk 
with the title and date of the seminar you wish to join.