Dr. Angelie Kraft

About

Angelie Kraft is leading the research group “Digitalization and Opening Up Science” since December 2025. There, she critically examines knowledge and data practices in AI research and development, applying methods from both computer science and the social sciences.

She completed her doctoral studies at the University of Hamburg under the supervision of Prof. Dr. Ricardo Usbeck and Prof. Dr. Judith Simon. In her dissertation, she analyzes “algorithmic bias” in language models and knowledge graphs, as well as the resulting ethical and epistemic consequences, drawing on theories from feminist epistemology. Prior to that, she earned bachelor’s degrees in psychology and computer science and a master’s degree in “Intelligent Adaptive Systems” (AI/machine learning).

Research Group: Digitalization and Opening Up Science

Selected publications

• Kraft A., Simon J. & Schimmler S. (2025). Social Bias in Popular Question-Answering Benchmarks. Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. The Asian Federation of Natural Language Processing and The Association for Computational Linguistics. https://aclanthology.org/2025.ijcnlp-long.79/
• Kraft A. & Soulier E. (2024). Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI. FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyThe 2024 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery. https://doi.org/10.1145/3630106.3658981
• Kraft A. (2025). On Knowledge in AI: Epistemic and Ethical Limitations of Language Models and Knowledge Graphs. https://ediss.sub.uni-hamburg.de/handle/ediss/12231