1 citations · 1 across the 5 of their papers we have counts for
5 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…
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…