معرفی
Franziska Sofia Hafner is a Researcher at the Oxford Internet Institute (OII), University of Oxford, focusing on algorithmic fairness, machine learning, and interactive data visualization. She holds an MSc in Social Data Science from the OII and a Bachelor’s degree in Computer Science and Public Policy from the University of Glasgow. Her work bridges technical AI research with societal impacts, particularly addressing bias in language models and healthcare algorithms.
Education:
- MSc in Social Data Science, Oxford Internet Institute (2023–2024)
- Bachelor of Science in Computer Science and Public Policy, University of Glasgow
Her research interests include mitigating gender and ethnicity biases in AI systems, with notable contributions to gender performativity theory in language models and ethnicity-aware algorithm design. She presented her work on gender bias at the 2024 NeurIPS conference and has published in journals like AI & Society and Social Network Analysis and Mining.
Research Contributions: Franziska’s articles explore cultural differences in sentiment analysis, bias in healthcare algorithms, and equitable algorithmic design. Her work highlights how AI systems encode societal inequities, such as gender binaries and ethnic disparities in medical diagnostics. She collaborates with the OII’s Equitable Access to Quality Information Lab and Digital Ethics and Defence Technologies group to advance ethical AI practices.
Public Engagement: Her research has been featured in press releases discussing AI’s impact on health equity and gender representation, emphasizing the need for inclusive algorithmic frameworks.
