Laypeople's Egocentric Perceptions of Copyright for AI-Generated Art Gabriel Lima, Nina Grgić-Hlača, and Elissa Redmiles. Accepted for publication at the CHI conference in April 2025.
Lay Perceptions of Algorithmic Discrimination in the Context of Systemic Injustice Gabriel Lima, Nina Grgić-Hlača, Markus Langer, and Yixin Zou. Accepted for publication at the CHI conference in April 2025.
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers Nina Grgić-Hlača, Junaid Ali, Krishna P. Gummadi, and Jennifer Wortman Vaughan. CSCW, San José, Costa Rica, November 2024. [arXiv6]
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm Gabriel Lima, Nina Grgić-Hlača, and Meeyoung Cha CHI, Hamburg, Germany, April 2023. [acm]
Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm Gabriel Lima, Nina Grgić-Hlača, N., Jin Keun Jeong, and Meeyoung Cha FAccT, Chicago, Illinois, June 2023. [acm]
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making Nina Grgić-Hlača, Claude Castelluccia and Krishina P. Gummadi HCOMP, Online Virtual Conference, November 2022. [arXiv]
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgić-Hlača, Gabriel Lima, Adrian Weller and Elissa M. Redmiles EAAMO, Arlington, Virginia, October 2022. New Horizons Award [arXiv]
The Conflict Between Explainable and Accountable Decision-Making Algorithms Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong and Meeyoung Cha FAccT, Seoul, South Korea, June 2022. [arXiv]
“Look! It's a Computer Program! It's an Algorithm! It's AI!”': Does Terminology Affect Human Perceptions and Evaluations of Algorithmic Decision-Making Systems? Markus Langer, Tim Hunsicker, Tina Feldkamp, Cornelius J König and and Nina Grgić-Hlača CHI, New Orleans, Louisiana, May 2022. [arXiv]
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, Virtual, May 2021. [arXiv]
Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing Nina Grgić-Hlača, Christoph Engel and Krishna P. Gummadi CSCW, 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, 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 The Web Conf, 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, 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 Workshop @ KDD, 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 Symposium on Machine Learning and the Law @ NeurIPS, Barcelona, Spain, December 2016. Notable Paper Award [PDF]
