Nina Grgić-Hlača

About

Welcome!

I am a PhD student at the Max Planck Institute for Software Systems. My advisor is Krishna P. Gummadi.

My research focuses on fairness in machine learning. My research interests include algorithmic fairness, machine learning, social computing and natural language processing.

I have an MA in Philosophy and Information Sciences from the Faculty of Humanities and Social Sciences, University of Zagreb, Croatia.

Publications

• Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
  Nina Grgić-Hlača, Elissa M. Redmiles, Krishna P. Gummadi and Adrian Weller
  WWW 2018, Lyon, France, April 2018.
  [PDF]


• Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning
  Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi and Adrian Weller
  AAAI 2018, New Orleans, Louisiana, February 2018.
  [PDF]


• On Fairness, Diversity and Randomness in Algorithmic Decision Making
  Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi and Adrian Weller
  FAT/ML 2017, Halifax, Canada, August 2017.
  [arXiv]


• The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
  Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi and Adrian Weller
  NIPS Symposium on Machine Learning and the Law, Barcelona, Spain, December 2016.
  Notable Paper Award
  [PDF]