Artificial Intelligence and Explainability
The research group on Artificial Intelligence and Explainability focuses on hybrid AI methods to make machines understand human-created data. That is, we combine modern, sub-symbolic machine learning approaches with symbolic knowledge engineering based on Knowledge Graphs to develop transparent AI systems. We focus on Knowledge Extraction, Speech Assistants, Question Answering, AI ethics, and more. We are looking forward to talking to you about the possibilities and challenges in AI!
PhD Students and Research Assistants
- Angelie Kraft, M.Sc.
- Tilahun Abedissa Taffa, M.Sc.
- Aida Usmanova, M.Sc.
External PhD Students (University of Hamburg)
Junbo Huang
Longquan Jiang
Cedric Möller
Shaista Shabbir
Najeeb Shams
Xi Yan