6 papers
Campus AI vs. Commercial AI: Comparing How Students and Employees Perceive their University's LLM Chatbot vs. ChatGPT
Leon Hannig, Annika Bush, Meltem Aksoy +3
As the use of LLM chatbots by students and researchers becomes more prevalent, universities are pressed to develop AI strategies. One strategy that many universities pursue is to c…
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…
Fine-Tuning Multilingual Language Models for Code Review: An Empirical Study on Industrial C# Projects
Igli Begolli, Meltem Aksoy, Daniel Neider
Code review is essential for maintaining software quality but often time-consuming and cognitively demanding, especially in industrial environments. Recent advancements in language…
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…
Campus AI vs Commercial AI: A Late-Breaking Study on How LLM As-A-Service Customizations Shape Trust and Usage Patterns
Leon Hannig, Annika Bush, Meltem Aksoy +2
As the use of Large Language Models (LLMs) by students, lecturers and researchers becomes more prevalent, universities - like other organizations - are pressed to develop coherent…
Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models
Meltem Aksoy
Large language models (LLMs) have become integral tools in diverse domains, yet their moral reasoning capabilities across cultural and linguistic contexts remain underexplored. Thi…