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ORCIDNina Grgic-Hlaca
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- affiliation: Max Planck Institute for Software Systems, Germany
- affiliation: Max Planck Institute for Research on Collective Goods, Germany
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2020 – today
- 2025
[c13]Gabriel Lima
, Nina Grgic-Hlaca, Markus Langer, Yixin Zou:
Lay Perceptions of Algorithmic Discrimination in the Context of Systemic Injustice. CHI 2025: 1114:1-1114:30- [c12]Gabriel Lima, Nina Grgic-Hlaca, Elissa M. Redmiles:
Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience. CHI 2025: 1120:1-1120:32 - 2024
- [j2]Nina Grgic-Hlaca, Junaid Ali, Krishna P. Gummadi, Jennifer Wortman Vaughan:
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-38 (2024) - [i12]Gabriel Lima, Nina Grgic-Hlaca, Elissa M. Redmiles:
Laypeople's Egocentric Perceptions of Copyright for AI-Generated Art. CoRR abs/2407.10546 (2024) - [i11]Nina Grgic-Hlaca, Junaid Ali, Krishna P. Gummadi, Jennifer Wortman Vaughan:
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers. CoRR abs/2407.11225 (2024) - 2023
- [c11]Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha:
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm. CHI 2023: 372:1-372:26 - [c10]Gabriel Lima, Nina Grgic-Hlaca, Jin Keun Jeong, Meeyoung Cha:
Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm. FAccT 2023: 236-246 - [i10]Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha:
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm. CoRR abs/2304.02176 (2023) - 2022
- [c9]Markus Langer, Tim Hunsicker, Tina Feldkamp, Cornelius J. König, Nina Grgic-Hlaca:
"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? CHI 2022: 581:1-581:28 - [c8]Nina Grgic-Hlaca, Gabriel Lima, Adrian Weller, Elissa M. Redmiles:
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness. EAAMO 2022: 21:1-21:12 - [c7]Gabriel Lima, Nina Grgic-Hlaca, Jin Keun Jeong, Meeyoung Cha:
The Conflict Between Explainable and Accountable Decision-Making Algorithms. FAccT 2022: 2103-2113 - [c6]Nina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi:
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. HCOMP 2022: 74-88 - [i9]Gabriel Lima, Nina Grgic-Hlaca, Jin Keun Jeong, Meeyoung Cha:
The Conflict Between Explainable and Accountable Decision-Making Algorithms. CoRR abs/2205.05306 (2022) - [i8]Nina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi:
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. CoRR abs/2209.03821 (2022) - 2021
- [c5]Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha:
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. CHI 2021: 235:1-235:17 - [i7]Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha:
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. CoRR abs/2102.00625 (2021) - [i6]Markus Langer, Tim Hunsicker, Tina Feldkamp, Cornelius J. König, Nina Grgic-Hlaca:
"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Intelligent Systems? CoRR abs/2108.11486 (2021) - 2020
- [c4]Min Kyung Lee, Nina Grgic-Hlaca, Michael Carl Tschantz, Reuben Binns, Adrian Weller, Michelle Carney, Kori Inkpen:
Human-Centered Approaches to Fair and Responsible AI. CHI Extended Abstracts 2020: 1-8 - [i5]Nina Grgic-Hlaca, Adrian Weller, Elissa M. Redmiles:
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness. CoRR abs/2005.00808 (2020)
2010 – 2019
- 2019
- [j1]Nina Grgic-Hlaca, Christoph Engel, Krishna P. Gummadi:
Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing. Proc. ACM Hum. Comput. Interact. 3(CSCW): 178:1-178:25 (2019) - [i4]Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller:
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. CoRR abs/1910.10255 (2019) - 2018
- [c3]Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller:
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. AAAI 2018: 51-60 - [c2]Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar:
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. KDD 2018: 2239-2248 - [c1]Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller:
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction. WWW 2018: 903-912 - [i3]Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller:
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction. CoRR abs/1802.09548 (2018) - [i2]Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar:
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices. CoRR abs/1807.00787 (2018) - 2017
- [i1]Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller:
On Fairness, Diversity and Randomness in Algorithmic Decision Making. CoRR abs/1706.10208 (2017)
Coauthor Index
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