Timo Freiesleben — accepted AI-conference papers

2025

Performative Validity of Recourse Explanations

Gunnar König, Hidde Fokkema, Timo Freiesleben, Celestine Mendler-Dünner, Ulrike von Luxburg

NeurIPS 2025poster

When applicants get rejected by a high-stakes algorithmic decision system, recourse explanations provide actionable suggestions for applicants on how to change their input features to get a positive evaluation. A crucial yet overlooked phenomenon is that recourse explanations are *performative*: Whe…

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2023

Improvement-Focused Causal Recourse (ICR)

Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup

AAAI 2023technical

Algorithmic recourse recommendations inform stakeholders of how to act to revert unfavorable decisions. However, existing methods may recommend actions that lead to acceptance (i.e., revert the model's decision) but do not lead to improvement (i.e., may not revert the underlying real-world state). T…

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