Nina Grgić-Hlača

About

Welcome!

I am a PhD student at the Max Planck Institute for Software Systems and Max Planck Institute for Research on Collective Goods. I am co-advised by Krishna P. Gummadi and Christoph Engel.

My research interests include algorithmic fairness, human-centric machine learning and social computing.

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

Publications

• Machine Advice with a Warning about Machine Limitations: Experimentally Testing the Solution Mandated by the Wisconsin Supreme Court
  Christoph Engel, Nina Grgić-Hlača
  Journal of Legal Analysis, 2021.
  [Publisher's version]


• Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making
  Gabriel Lima, Nina Grgić-Hlača, and Meeyoung Cha
  CHI 2021, Virtual, May 2021.
  [arXiv]


• Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
  Nina Grgić-Hlača, Adrian Weller and Elissa M. Redmiles
  CSCW 2019 workshop on Team and Group Diversity, Austin, Texas, November 2019.
  [arXiv]


• Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing
  Nina Grgić-Hlača, Christoph Engel and Krishna P. Gummadi
  CSCW 2019, Austin, Texas, November 2019.
  [PDF]


• A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
  Till Speicher, Hoda Heidari, Nina Grgić-Hlača, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
  KDD 2018, London, United Kingdom, August 2018.
  [PDF]


• 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] [code & data]


• 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] [code & data]


• 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
  NeurIPS Symposium on Machine Learning and the Law, Barcelona, Spain, December 2016.
  Notable Paper Award
  [PDF]