Nina Grgić-Hlača

Research Fellow

Publications

  • Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm
    Gabriel Lima, Nina Grgić-Hlača, and Meeyoung Cha
    Accepted for publication at the CHI conference in April 2023.

  • 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
    Accepted for publication at the FAccT conference in June 2023.

  • 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]

 

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