7 papers
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…
Normative Common Ground Replication (NormCoRe): Replication-by-Translation for Studying Norms in Multi-Agent AI
Luca Deck, Simeon Allmendinger, Lucas Müller +1
In the late 2010s, the fashion trend NormCore framed sameness as a signal of belonging, illustrating how norms emerge through collective coordination. Today, similar forms of norma…
A Multi-Level Strategy for Deepfake Content Moderation under EU Regulation
Max-Paul Förster, Luca Deck, Raimund Weidlich +1
The growing availability and use of deepfake technologies increases risks for democratic societies, e.g., for political communication on online platforms. The EU has responded with…
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…
Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction
Sarah Ball, Simeon Allmendinger, Frauke Kreuter +1
Generative AI (GenAI) is increasingly used in survey contexts to simulate human preferences. While many research endeavors evaluate the quality of synthetic GenAI data by comparing…