Research Interest:
- Human-Computer Interaction: development of intelligent decision support systems for human-AI collaborative tasks. Transparency and Usability are highly relevant to make AI-based IDSS useful, thus, we include xAI and transparency metrics in the IDSS design (use case: disinformation detection, medical data analysis)
- Natural Language Processing: Information Retrieval, Entity Recognition, Retrieval Augmented Generation, fine-tuning LLMs for various downstream tasks
- Usable Security and Privacy: GDPR compliance analysis, examining efficient ways of representing privacy-related information for several use cases, examining the economic value of privacy from the user’s perspective
- Legal and Ethical Considerations: Analyse implications of the AI Act, DSA, GDPR, and Data Act on the data aggregation and development of AI-based IDSS for different use cases
