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
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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]