![Zara Siddique](https://profiles-cardiff.imgix.net/attachments/6483?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Overview
I am a PhD candidate in the School of Computer Science and Informatics, funded by the UKRI’s AIMLAC CDT. My thesis explores how we can conceptualise and quantify harms caused by large language models (LLMs) and how debiasing methods affect intersecting forms of discrimination, e.g. race and gender.
My main research interests lie in the fields of bias in LLMs and AI ethics, as well as political and media bias. I am also a member of the Cardiff NLP research group.
Publication
2025
- Siddique, Z. , Turner, L. and Espinosa-Anke, L. 2025. Dialz: A Python toolkit for steering vectors. Presented at: The 63rd Annual Meeting of the Association for Computational Linguistics Vienna, Austria 27 July - 1 August 2025. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Vol. 3.Vienna, Austria: Association for Computational Linguistics. , pp.363-375. (10.18653/v1/2025.acl-demo.35)
2024
- Siddique, Z. , Turner, L. and Espinosa-Anke, L. 2024. Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models. Presented at: The 2024 Conference on Empirical Methods in Natural Language Processing Miami, FL, USA 12-16 November 2024. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.18601-18619. (10.18653/v1/2024.emnlp-main.1035)
Conferences
- Siddique, Z. , Turner, L. and Espinosa-Anke, L. 2025. Dialz: A Python toolkit for steering vectors. Presented at: The 63rd Annual Meeting of the Association for Computational Linguistics Vienna, Austria 27 July - 1 August 2025. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Vol. 3.Vienna, Austria: Association for Computational Linguistics. , pp.363-375. (10.18653/v1/2025.acl-demo.35)
- Siddique, Z. , Turner, L. and Espinosa-Anke, L. 2024. Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models. Presented at: The 2024 Conference on Empirical Methods in Natural Language Processing Miami, FL, USA 12-16 November 2024. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.18601-18619. (10.18653/v1/2024.emnlp-main.1035)
Supervisors
Contact Details
Research themes
Specialisms
- AI Ethics
- Natural language processing