Ulrike Kuhl

Bielefeld University — Germany

Computer Science · Physical Sciences

7h-index219citations27works1.02yr avg
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Research Topics

Explainable Artificial Intelligence (XAI)(10), Reading and Literacy Development(5), Functional Brain Connectivity Studies(4), Decision-Making and Behavioral Economics(4), Ethics and Social Impacts of AI(4)

Publications27 total

Interpretable event diagnosis in water distribution networks
Intelligent Systems with Applications·2025Open Access
When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making
Communications in computer and information science·2025· 1 citedOpen Access
Large Language Models Do Not Simulate Human Psychology
arXiv (Cornell University)·2025Open Access
When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making
ArXiv.org·2025Open Access
Interpretable Event Diagnosis in Water Distribution Networks
arXiv (Cornell University)·2025Open Access
Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images
Communications in computer and information science·2025· 1 cited
CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence
Lecture notes in computer science·2024· 5 cited
Toward enriched Cognitive Learning with XAI
arXiv (Cornell University)·2023Open Access
Behavioral Economics and Neuroeconomics of Environmental Values
Annual Review of Resource Economics·2023· 14 citedOpen Access
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
arXiv (Cornell University)·2023Open Access
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning
Frontiers in Computer Science·2023· 20 citedOpen Access
For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI
Communications in computer and information science·2023· 5 citedOpen Access
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
2022 ACM Conference on Fairness, Accountability, and Transparency·2022· 23 citedOpen Access
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning
arXiv (Cornell University)·2022· 2 citedOpen Access
Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens
PUB – Publications at Bielefeld University (Bielefeld University)·2022Open Access
Intuitiveness in Active Teaching
IEEE Transactions on Human-Machine Systems·2021Open Access
Mathematical learning deficits originate in early childhood from atypical development of a frontoparietal brain network
PLoS Biology·2021· 24 citedOpen Access
Resting-State Functional Connectivity in Mathematical Expertise
Brain Sciences·2021· 6 citedOpen Access
The emergence of dyslexia in the developing brain
NeuroImage·2020· 79 citedOpen Access
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Frequent Co-authors

Barbara Hammer(11), Angela D. Friederici(7), André Artelt(7), Michael A. Skeide(6), Hyeon‐Ae Jeon(3), Nicole E. Neef(2), Indra Kraft(2), Gesa Schaadt(2), Liane Dörr(2), Jens Bräuer(2), Ivonne Czepezauer(2), Bent Müller(2), Arndt Wilcke(2), Holger Kirsten(2), Frank Emmrich(2), Johannes Boltze(2), Muhammad Suffian(2), José M. Alonso(2), Alessandro Bogliolo(2), Stelios G. Vrachimis(2)