10 citations · 18 across the 7 of their papers we have counts for
9 papers
Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos
Simeon Allmendinger, Domenique Zipperling, Burhanettin Bahadir Kibar +2
Organizations seek analytical value from AI, yet relevant data are often fragmented across organizations and constrained by privacy. This is acute in financial fraud detection, whe…
Integrating Causal Machine Learning into Clinical Decision Support Systems: Insights from Literature and Practice
Domenique Zipperling, Lukas Schmidt, Benedikt Hahn +2
Current clinical decision support systems (CDSSs) typically base their predictions on correlation, not causation. In recent years, causal machine learning (ML) has emerged as a pro…
Smart But Not Moral? Moral Alignment In Human-AI Decision-Making
Christiane Ernst, Luis Gutmann, Domenique Zipperling +2
In high-stakes AI-supported decisions, considerations are not purely technical but involve moral judgments about fairness, responsibility, and harm. While prior research has focuse…
It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration
Domenique Zipperling, Luca Deck, Julia Lanzl +1
Human-AI collaboration is increasingly relevant in consequential areas where AI recommendations support human discretion. However, human-AI teams' effectiveness, capability, and fa…
A Multivocal Literature Review on Privacy and Fairness in Federated Learning
Beatrice Balbierer, Lukas Heinlein, Domenique Zipperling +1
Federated Learning presents a way to revolutionize AI applications by eliminating the necessity for data sharing. Yet, research has shown that information can still be extracted du…
CollaFuse: Collaborative Diffusion Models
Simeon Allmendinger, Domenique Zipperling, Lukas Struppek +1
In the landscape of generative artificial intelligence, diffusion-based models have emerged as a promising method for generating synthetic images. However, the application of diffu…
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness
Luca Deck, Jan-Laurin Müller, Conradin Braun +2
The topic of fairness in AI, as debated in the FATE (Fairness, Accountability, Transparency, and Ethics in AI) communities, has sparked meaningful discussions in the past years. Ho…
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
Domenique Zipperling, Simeon Allmendinger, Lukas Struppek +1
In the landscape of generative artificial intelligence, diffusion-based models present challenges for socio-technical systems in data requirements and privacy. Traditional approach…
A review of systematic selection of clustering algorithms and their evaluation
Marc Wegmann, Domenique Zipperling, Jonas Hillenbrand +1
Data analysis plays an indispensable role for value creation in industry. Cluster analysis in this context is able to explore given datasets with little or no prior knowledge and t…