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Niklas Kühl

Full Professor

University of Bayreuth

Germany

Research Interests

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Professors in Germany Professors in Artificial Intelligence Artificial Intelligence professors in Germany

Articles (20)

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2026

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Collaborators (10)

Gerhard Schwabe

University of Zurich

SWITZERLAND

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Kenneth Holstein

Carnegie Mellon University

UNITED STATES

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Joshua Holstein

Karlsruhe Institute of Technology

GERMANY

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Peter Mayer

Associate Professor

University of Southern Denmark

DENMARK

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Henner Gimpel

Professor

University of Hohenheim

GERMANY

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Adam Perer

Carnegie Mellon University

UNITED STATES

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Sven Eckhardt

University of Zurich

SWITZERLAND

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Gerhard Satzger

Karlsruhe Institute of Technology

GERMANY

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Michael Vössing

Karlsruhe Institute of Technology

GERMANY

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Mateusz Dolata

University of Zurich

SWITZERLAND

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Niklas Kühl

Research Interests

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Articles (20)

A Survey of AI Reliance

Multi-agent AI

Don’t Be Fooled: The Misinformation Effect of Explanations in Human–AI Collaboration

CollaFuse: Collaborative Diffusion Models

Normative Common Ground Replication (NormCoRe): Replication-by-Translation for Studying Norms in Multi-Agent AI

A Multivocal Literature Review on Privacy and Fairness in Federated Learning

Do Edges Matter? Investigating Edge-Enhanced Pre-training for Medical Image Segmentation

Balancing the Unknown: Exploring Human Reliance on AI Advice Under Aleatoric and Epistemic Uncertainty

Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information

Imperfections of XAI: Phenomena Influencing AI-Assisted Decision-Making

Design and Evaluation of an Anti-phishing Artifact Based on Useful Transparency

It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration

Enabling inter-organizational analytics in business networks through meta machine learning

Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements

Designing a computer-vision-based artifact for automated quality control: a case study in the food industry

(X)AI as a Teacher: Learning with Explainable Artificial Intelligence

Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models

A Critical Survey on Fairness Benefits of Explainable AI

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making

The Impact of Imperfect XAI on Human-AI Decision-Making

Collaborators (10)

Gerhard Schwabe

Kenneth Holstein

Joshua Holstein

Peter Mayer

Henner Gimpel

Adam Perer

Sven Eckhardt

Gerhard Satzger

Michael Vössing

Mateusz Dolata

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