Christoph Kern
Orcid: 0000-0001-7363-4299Affiliations:
- Ludwig Maximilian University of Munich, Germany
According to our database1,
Christoph Kern
authored at least 33 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
Nat. Comput. Sci., May, 2025
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR).
CoRR, January, 2025
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025
Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and Bias.
Proceedings of the European Workshop on Algorithmic Fairness, 2025
A Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee Matching.
Proceedings of the European Workshop on Algorithmic Fairness, 2025
Re-evaluating the role of refugee integration factors for building more equitable allocation algorithms.
Proceedings of the European Workshop on Algorithmic Fairness, 2025
Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
2024
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production.
AStA Wirtschafts und Sozialstatistisches Arch., June, 2024
Trans. Mach. Learn. Res., 2024
Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector.
Gov. Inf. Q., 2024
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts.
CoRR, 2024
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in Practice.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets.
Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024
Deciding the Future of Refugees: Rolling the Dice or Algorithmic Location Assignment?
Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024
2023
Bridging the Gap: Towards an Expanded Toolkit for ML-Supported Decision-Making in the Public Sector.
CoRR, 2023
Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness.
CoRR, 2023
Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
What If? Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Social impacts of algorithmic decision-making: A research agenda for the social sciences.
Big Data Soc., January, 2022
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making.
Patterns, 2022
2021
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
CoRR, 2021