3 papers
cs.CY2025
A Detailed Study on LLM Biases Concerning Corporate Social Responsibility and Green Supply Chains
Greta Ontrup, Annika Bush, Markus Pauly +1
Organizations increasingly use Large Language Models (LLMs) to improve supply chain processes and reduce environmental impacts. However, LLMs have been shown to reproduce biases re…
stat.AP2025
Explainable anomaly detection for sound spectrograms using pooling statistics with quantile differences
Nicolas Thewes, Philipp Steinhauer, Patrick Trampert +2
Anomaly detection is the task of identifying rarely occurring (i.e. anormal or anomalous) samples that differ from almost all other samples in a dataset. As the patterns of anormal…
cs.CY2025
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI
Annika Bush, Meltem Aksoy, Markus Pauly +1
As organizations increasingly rely on AI systems for decision support in sustainability contexts, it becomes critical to understand the inherent biases and perspectives embedded in…