collaborators

6 papers

cs.CY2026

Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences

Alina Wernick, Kristof Meding

The EU has become one of the vanguards in regulating the digital age. A particularly important regulation in the Artificial Intelligence (AI) domain is the 2024 enacted EU AI Act.…

cs.LG2026

Using predictive multiplicity to measure individual performance within the AI Act

Karolin Frohnapfel, Mara Seyfert, Sebastian Bordt +2

When building AI systems for decision support, one often encounters the phenomenon of predictive multiplicity: a single best model does not exist; instead, one can construct many m…

cs.LG2026

We Need Explanation Cards to Connect Explanation Algorithms to the Real World

Eric Günther, Balázs Szabados, Kristof Meding +3

Algorithmic explanations are intended to help stakeholders understand opaque algorithmic decisions, but in practice, they often fall short. First, the meaning of algorithmic explan…

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…

cs.CY2026

Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act

Lucas G. Uberti-Bona Marin, Bram Rijsbosch, Kristof Meding +3

Technical and legal debates frequently suggest that "accuracy" is an objective, measurable, and purely technical property. We challenge this view, showing that evaluating AI perfor…

cs.LG2025

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data

Henrik Nolte, Michèle Finck, Kristof Meding

Does GPT know you? The answer depends on your level of public recognition; however, if your information was available on a website, the answer could be yes. Most Large Language Mod…