Christoph Kern

40 papers A* 2Journal 23Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empirically Understanding the Value of Prediction in Allocation. CoRR Unai Fischer Abaigar, Emily Aiken, Christoph Kern, Juan Carlos Perdomo
2026	—	`conf`	From Awareness to Action? The Impact of CO2 Emission Feedback on Student LLM Usage. CHI Extended Abstracts Lisa Bondo Andersen, Markus Herklotz, Ailin Liu, Moritz Goeke, Michael Juelich, Christoph Kern, Frauke Kreuter
2025	—	`conf`	A Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee Matching. EWAF Christoph Kern, Jakob Kappenberger, Frederic Gerdon, Clara Strasser Ceballos, Daria Szafran, Florian Rupp, Ruben L. Bach
2025	J	`jnl`	Algorithms for reliable decision-making need causal reasoning. Nat. Comput. Sci. Christoph Kern, Unai Fischer Abaigar, Jonas Schweisthal, Dennis Frauen, Rayid Ghani, Stefan Feuerriegel, Mihaela van der Schaar, Frauke Kreuter
2025	J	`jnl`	Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness. CoRR Jan Simson, Alessandro Fabris, Cosima Fröhner, Frauke Kreuter, Christoph Kern
2025	J	`jnl`	Bias in the Loop: How Humans Evaluate AI-Generated Suggestions. CoRR Jacob Beck, Stephanie Eckman, Christoph Kern, Frauke Kreuter
2025	J	`jnl`	Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR). CoRR Stephanie Eckman, Bolei Ma, Christoph Kern, Robert F. Chew, Barbara Plank, Frauke Kreuter
2025	J	`jnl`	Fairness in Algorithmic Profiling: The AMAS Case. Minds Mach. Eva Achterhold, Monika Mühlböck, Nadia Steiber, Christoph Kern
2025	—	`conf`	Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and Bias. EWAF Patrick Oliver Schenk, Christoph Kern, Trent Buskirk
2025	—	`conf`	Location matching on shaky grounds: Re-evaluating algorithms for refugee allocation. FAccT Clara Strasser Ceballos, Christoph Kern
2025	A*	`conf`	Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse. CHI Jan Simson, Fiona Draxler, Samuel Mehr, Christoph Kern
2025	—	`conf`	Re-evaluating the role of refugee integration factors for building more equitable allocation algorithms. EWAF Clara Strasser Ceballos, Marcus Novotny, Christoph Kern
2025	A*	`conf`	The Value of Prediction in Identifying the Worst-Off. ICML Unai Fischer Abaigar, Christoph Kern, Juan Carlos Perdomo
2025	J	`jnl`	The Value of Prediction in Identifying the Worst-Off. CoRR Unai Fischer Abaigar, Christoph Kern, Juan Carlos Perdomo
2024	J	`jnl`	Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector. Gov. Inf. Q. Unai Fischer Abaigar, Christoph Kern, Noam Barda, Frauke Kreuter
2024	J	`jnl`	Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production. CoRR Patrick Oliver Schenk, Christoph Kern
2024	J	`jnl`	Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production. AStA Wirtschafts und Sozialstatistisches Arch. Patrick Oliver Schenk, Christoph Kern
2024	—	`conf`	Deciding the Future of Refugees: Rolling the Dice or Algorithmic Location Assignment? EWAF Clara Strasser Ceballos, Christoph Kern
2024	—	`conf`	Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in Practice. FAccT Sofia Jaime, Christoph Kern
2024	—	`conf`	Lazy Data Practices Harm Fairness Research. FAccT Jan Simson, Alessandro Fabris, Christoph Kern
2024	J	`jnl`	Lazy Data Practices Harm Fairness Research. CoRR Jan Simson, Alessandro Fabris, Christoph Kern
2024	J	`jnl`	Multi-Accurate CATE is Robust to Unknown Covariate Shifts. Trans. Mach. Learn. Res. Christoph Kern, Michael P. Kim, Angela Zhou
2024	J	`jnl`	Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts. CoRR Christoph Kern, Michael P. Kim, Angela Zhou
2024	—	`conf`	One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions. FAccT Jan Simson, Florian Pfisterer, Christoph Kern
2024	J	`jnl`	The Missing Link: Allocation Performance in Causal Machine Learning. CoRR Unai Fischer Abaigar, Christoph Kern, Frauke Kreuter
2024	—	`conf`	Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets. EWAF Jan Simson, Alessandro Fabris, Christoph Kern
2023	—	`conf`	Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. EMNLP (Findings) Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter
2023	J	`jnl`	Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. CoRR Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter
2023	J	`jnl`	Bridging the Gap: Towards an Expanded Toolkit for ML-Supported Decision-Making in the Public Sector. CoRR Unai Fischer Abaigar, Christoph Kern, Noam Barda, Frauke Kreuter
2023	—	`conf`	Ethnic Classifications in Algorithmic Decision-Making Processes. EWAF Sofia Jaime, Christoph Kern
2023	J	`jnl`	Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness. CoRR Jan Simson, Florian Pfisterer, Christoph Kern
2023	—	`conf`	Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness. HHAI Jan Simson, Florian Pfisterer, Christoph Kern
2023	—	`conf`	What If? Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness. EWAF Jan Simson, Florian Pfisterer, Christoph Kern
2023	—	`conf`	When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes. EWAF Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter
2022	J	`jnl`	Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns Christoph Kern, Frederic Gerdon, Ruben L. Bach, Florian Keusch, Frauke Kreuter
2022	J	`jnl`	Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data Soc. Frederic Gerdon, Ruben L. Bach, Christoph Kern, Frauke Kreuter
2022	J	`jnl`	Uncertainty-aware predictive modeling for fair data-driven decisions. CoRR Patrick Kaiser, Christoph Kern, David Rügamer
2021	J	`jnl`	Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There? CoRR Matthias Kuppler, Christoph Kern, Ruben L. Bach, Frauke Kreuter
2021	J	`jnl`	Fairness in Algorithmic Profiling: A German Case Study. CoRR Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter
2021	J	`jnl`	mcboost: Multi-Calibration Boosting for R. J. Open Source Softw. Florian Pfisterer, Christoph Kern, Susanne Dandl, Matthew Sun, Michael P. Kim, Bernd Bischl