Staff profile
Overview
https://apps.dur.ac.uk/biography/image/2137
| Affiliation | Telephone |
|---|---|
| Postgraduate Student in the Department of Computer Science |
Biography
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:
Research Groups
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.
Research interests
- Bias in Artificial Intelligence
- Large scale meta-learning language models
- Widening Participation in HE
- AI Ethics
- Women in STEM
- Equality Diversity and Inclusion
Publications
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, June). Self-Regulated Sample Diversity in Large Language Models. Presented at NAACL 2024: 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Mexico City
Journal Article
- Algorithmic bias: sexualized violence against women in GPT-3 models
Wyer, S., & Black, S. (online). Algorithmic bias: sexualized violence against women in GPT-3 models. AI and Ethics, https://doi.org/10.1007/s43681-024-00641-0