Goal

Create intelligent decision support systems, by researching the whole cycle from developing and implementing large language models, and designing user interfaces with human-meaningful representations of model outputs and metadata, by implementing explanations and transparency features from NLP-based predictions.

Approach: 

• Develop and apply LLMs for fake news detection in text data 
• Develop and apply LLMs for Sustainable Development Goal detection in different text sources 
• Design and validate intelligent decision-support systems for fake news detection 
• Implement and validate human-meaningful explanations for the fake news detection task  

Teaching: 

• NLP Seminar (summer term) 
• Ethics of AI Seminar (summer term)
• Advanced Study Projects (summer and winter term)

Projects: 

• NEWS-POLYGRAPH
• ateSDG

Topics: 

• Fake news detection (text and image) 
• Hate speech detection 
• Claim extraction and claim verification 
• NLP downstream tasks 
• Sustainable Development Goal detection in text 
• Human-Computer Interaction 
• Explainable AI 
• AI regulation (impact analysis of AI Act on LLMs) 
• Bias in dataset and models