On Fairness, Diversity and Randomness in Algorithmic Decision Making. - Nina Grgic-Hlaca; Muhammad Bilal Zafar; Krishna P. Gummadi; Adrian Weller (CoRR, 2017)

Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. - Nina Grgic-Hlaca; Muhammad Bilal Zafar; Krishna P. Gummadi; Adrian Weller (AAAI, 2018)

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. - Till Speicher; Hoda Heidari; Nina Grgic-Hlaca; Krishna P. Gummadi; Adish Singla; Adrian Weller; Muhammad Bilal Zafar (KDD, 2018)

Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction. - Nina Grgic-Hlaca; Elissa M. Redmiles; Krishna P. Gummadi; Adrian Weller (WWW, 2018)

An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. - Hanchen Wang 002; Nina Grgic-Hlaca; Preethi Lahoti; Krishna P. Gummadi; Adrian Weller (CoRR, 2019)

Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing. - Nina Grgic-Hlaca; Christoph Engel; Krishna P. Gummadi (Proc. ACM Hum. Comput. Interact., 2019)

Human-Centered Approaches to Fair and Responsible AI. - Min Kyung Lee; Nina Grgic-Hlaca; Michael Carl Tschantz; Reuben Binns; Adrian Weller; Michelle Carney; Kori Inkpen (CHI Extended Abstracts, 2020)

Dimensions of Diversity in Human Perceptions of Algorithmic Fairness. - Nina Grgic-Hlaca; Adrian Weller; Elissa M. Redmiles (CoRR, 2020)

Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. - Gabriel Lima; Nina Grgic-Hlaca; Meeyoung Cha (CHI, 2021)

"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Intelligent Systems? - Markus Langer; Tim Hunsicker; Tina Feldkamp; Cornelius J. König; Nina Grgic-Hlaca (CoRR, 2021)

"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; Nina Grgic-Hlaca (CHI, 2022)

Dimensions of Diversity in Human Perceptions of Algorithmic Fairness. - Nina Grgic-Hlaca; Gabriel Lima; Adrian Weller; Elissa M. Redmiles (EAAMO, 2022)

The Conflict Between Explainable and Accountable Decision-Making Algorithms. - Gabriel Lima; Nina Grgic-Hlaca; Jin Keun Jeong; Meeyoung Cha (FAccT, 2022)

Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. - Nina Grgic-Hlaca; Claude Castelluccia; Krishna P. Gummadi (HCOMP, 2022)

Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm. - Gabriel Lima; Nina Grgic-Hlaca; Meeyoung Cha (CHI, 2023)

Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm. - Gabriel Lima; Nina Grgic-Hlaca; Jin Keun Jeong; Meeyoung Cha (FAccT, 2023)

Laypeople's Egocentric Perceptions of Copyright for AI-Generated Art. - Gabriel Lima; Nina Grgic-Hlaca; Elissa M. Redmiles (CoRR, 2024)

(De)Noise: Moderating the Inconsistency Between Human Decision-Makers. - Nina Grgic-Hlaca; Junaid Ali 001; Krishna P. Gummadi; Jennifer Wortman Vaughan (Proc. ACM Hum. Comput. Interact., 2024)

Lay Perceptions of Algorithmic Discrimination in the Context of Systemic Injustice. - Gabriel Lima; Nina Grgic-Hlaca; Markus Langer; Yixin Zou (CHI, 2025)

Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience. - Gabriel Lima; Nina Grgic-Hlaca; Elissa M. Redmiles (CHI, 2025)

Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms. - Gabriel Lima; Nina Grgic-Hlaca; Markus Langer; Yixin Zou (CoRR, 2025)