Anna Rogers

Anna Rogers is a tenured Associate Professor at the IT University of Copenhagen, where she leads research in the Data Science Section. Her work bridges NLP, large language models (LLMs), and sociotechnical impacts of AI, with a focus on interpretability, robustness, and ethical frameworks. She serves as co-editor-in-chief of ACL Rolling Review and is a Villum Young Investigator and ELLIS fellow.

• Education: PhD in Computational Linguistics (University of Tokyo), Postdocs in Machine Learning for NLP (University of Massachusetts, Lowell) and Social Data Science (University of Copenhagen)

Her research explores how LLMs can be designed for transparency and fairness, with recent grants like the Villum Synergy and Inge Lehmann supporting interdisciplinary collaborations. She organizes workshops (e.g., Dagstuhl seminar 24052) and co-leads projects like CAISA (National Centre for Artificial Intelligence in Society). Key themes include:

• Interpretability in NLP
• Robustness against synthetic content
• Data governance and ethical use
• Peer review systems and academic publishing

Her lab has hosted researchers such as Max Müller-Eberstein (funded by DFF) and is actively recruiting for projects on generalization benchmarks and data attribution. She emphasizes collaboration across academia, industry, and policy, shaping Denmark's data science future through roles like the Danish Data Science Academy committee. Recent articles highlight trends in corpus analysis, temporal annotation, and LLM governance.