Nina Grgic-Hlaca
Orcid: 0000-0003-3397-2984Affiliations:
- Max Planck Institute for Software Systems, Germany
- Max Planck Institute for Research on Collective Goods, Germany
According to our database1,
Nina Grgic-Hlaca
authored at least 16 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022
"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?
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Intelligent Systems?
CoRR, 2021
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
2020
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
2019
Proc. ACM Hum. Comput. Interact., 2019
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision.
CoRR, 2019
2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017