Niklas Kühl

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Learning Models

Extended Abstract

Diffusion Models

Support Systems

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making. CHI (2024)
Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas Kühl
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI. CoRR (2024)
Niklas Kühl, Christian Meske, Maximilian Nitsche, Jodie Lobana
Investigating the Role of Explainability and AI Literacy in User Compliance. CoRR (2024)
Jannis Walk, Max Schemmer, Niklas Kühl, Gerhard Satzger
Image-Mining-Based Decision Support Systems: Design Knowledge and its Evaluation in Tool Wear Analysis. Commun. Assoc. Inf. Syst. 54 (2024)
Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. AAAI (2024)
Jan Bode, Niklas Kühl, Dominik Kreuzberger, Carsten Holtmann
Toward Avoiding the Data Mess: Industry Insights From Data Mesh Implementations. IEEE Access 12 (2024)
Philipp Spitzer, Niklas Kühl, Marc Goutier, Manuel Kaschura, Gerhard Satzger
Transferring Domain Knowledge with (X)AI-Based Learning Systems. CoRR (2024)
Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert
Interactive Generation of Laparoscopic Videos with Diffusion Models. CoRR (2024)
Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer
The Impact of Imperfect XAI on Human-AI Decision-Making. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. CoRR (2024)
Luca Deck, Jan-Laurin Müller, Conradin Braun, Domenique Zipperling, Niklas Kühl
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness. CoRR (2024)
Philipp Spitzer, Marc Goutier, Niklas Kühl, Gerhard Satzger
(X)AI as a Teacher: Learning with Explainable Artificial Intelligence. MuC (2024)
Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle. CoRR (2024)
Philipp Spitzer, Sebastian Celis, Dominik Martin, Niklas Kühl, Gerhard Satzger
Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models. MuC (2024)
Niklas Kühl, Thomas Setzer, Hansjörg Fromm, Michael Vössing
Introduction to the Minitrack on Service Analytics. HICSS (2024)
Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. CoRR (2024)
Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
A Critical Survey on Fairness Benefits of Explainable AI. FAccT (2024)
Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger
On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. CoRR (2024)
Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer
The Impact of Imperfect XAI on Human-AI Decision-Making. CoRR (2023)
Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. HHAI (2023)
Franziska Haller, Max Schemmer, Niklas Kühl, Carsten Holtmann
Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading. ECIS (2023)
Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. CoRR (2023)
Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard Satzger
ML-Based Teaching Systems: A Conceptual Framework. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR (2023)
Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. AAAI (2023)
Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. ICIS (2023)
Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
A Critical Survey on Fairness Benefits of XAI. CoRR (2023)
Maximilian Nitsche, S. Karthik Mukkavilli, Niklas Kühl, Thomas Brunschwiler
AB2CD: AI for Building Climate Damage Classification and Detection. CoRR (2023)
Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. IGARSS (2023)
Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger
"Needs from Tweets": Towards Deriving Customer Needs From Micro Blog Data (Extended Abstract). MKWI (2016)