2 papers
stat.ML2026
Explainable AI Isn't Enough! Rethinking Algorithmic Contestability
Timo Freiesleben, Kristof Meding, Gunnar König
Machine learning systems increasingly make life-changing decisions about individuals, such as loan approvals, hiring, and cheating detection, raising a pressing question: how can i…
stat.ML2025
Performative Validity of Recourse Explanations
Gunnar König, Hidde Fokkema, Timo Freiesleben +2
When applicants get rejected by an algorithmic decision system, recourse explanations provide actionable suggestions for how to change their input features to get a positive evalua…