Staff profile

PhD in Computer Science

Sarah is a PhD student in the Department of Computer Science. Her thesis focuses on identifying and mitigating gender and social class bias in large language models from an intersectional perspective.

Supervisors:

Prof Sue Black

Prof Nicola Whitton

Research Groups

EquiAI UK Network

Artificial Intelligence and Human Systems Group

Teaching Fellow in Computer Science (Foundation Programme)

Sarah teaches computer science on the Foundation Programme. She is the module convenor for Foundation Computer Science, and also teaches English for Scientists with Project. 

• Bias in Artificial Intelligence
• Large scale meta-learning language models
• Widening Participation in HE
• AI Ethics
• Women in STEM
• Equality Diversity and Inclusion

Conference Paper

• Self-Regulated Sample Diversity in Large Language Models
  
  Liu, M., Frawley, J., Wyer, S., Shum, H. P. H., Uckelman, S. L., Black, S., & Willcocks, C. G. (2024). Self-Regulated Sample Diversity in Large Language Models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (pp. 1891–1899). Association for Computational Linguistics.

Journal Article

• Algorithmic bias: sexualized violence against women in GPT-3 models
  
  Wyer, S., & Black, S. (2025). Algorithmic bias: sexualized violence against women in GPT-3 models. AI and Ethics. Advance online publication. https://doi.org/10.1007/s43681-024-00641-0