Member
Angel Pavon Perez
Postdoctoral Research Associate in AI
+44 (0)1908 338390
Ãngel is a Research Associate in Responsible AI at the Centre for Protecting Women Online and is currently completing his PhD at the Knowledge Media Institute in collaboration with VISA Europe. He has a background in studying radicalised online communities, particularly within the manosphere. His research also focuses on identifying and addressing bias in AI systems within financial services, with an emphasis on how these systems may unintentionally disadvantage minoritised groups. Committed to using technology for social good, Ãngel is dedicated to using responsible AI to protect minoritised communities.
Keys: responsible AI, web science, machine learning fairness, natural language processing
Team: Harith Alani, Vaclav Bayer, Gregoire Burel, Em Dean, Miriam Fernandez, Joseph Kwarteng, Paula Reyero Lobo
News
02 Oct 2025
16 Sep 2025
10 Jul 2025
31 Jan 2025
17 Sep 2024
Publications
Fernandez, M., Jurasz, O. and Pavón Pérez, Á. (2025). Submission to the Call for inputs by UN Working Group on discrimination against women and girls to the 2026 Thematic Report on Gender Equality, the Digital Space and the Age of Artificial Intelligence. United Nations Working Group on discrimination against women and girls. https://oro.open.ac.uk/107480/.
Fernandez, M., Morales Tirado, A.C., Pavon-Perez, A., Duddin, K., Zhang, M., Bakina, K., Bandara, A., Capdevila, R., Lazard, L. and Jurasz, O. (2025). Co-creating an Ontology of Online Gender-Based Harms: An Interdisciplinary Perspective. In: ISWC 2025 - The 24th International Semantic Web Conference, 02-06 Nov 2025, Nara, Japan. https://oro.open.ac.uk/105569/.
Pavón Pérez, Á., Fernandez, M., Farrell, T., Nozza, D. and de Kock, C. (2025). Foreword: Towards a Safer Web for Women - First International Workshop on Protecting Women Online. In: WWW '25: The ACM Web Conference 2025, 28 Apr - 02 May 2025, Sydney, Australia. https://oro.open.ac.uk/105018/.
Black, I., Bakina, K., Jurasz, O. and Pavon Perez, A. (2025). Response to the Women and Equalities Committee’s consultation on Misogyny, the Manosphere and Online Content. Centre for Protecting Women Online, Milton Keynes, UK. https://oro.open.ac.uk/104802/.
Bakina, K., Capdevila, R., Duddin, K., Jurasz, O., Lazard, L. and Pavon-Perez, A. (2025). Response from the Centre for Protecting Women Online to the Home Affairs Committee inquiry on tackling violence against women. The Open University / Centre for Protecting Women Online. https://oro.open.ac.uk/104587/.
Pavon Perez, A., Fernandez, M. and Jurasz, O. (2025). Response to the AI in financial services inquiry. Centre for Protecting Women Online. https://oro.open.ac.uk/103768/.
Bakina, K., Bandara, A., Black, I., Capdevila, R., Jurasz, O., Lazard, L., Pavon Perez, A. and Zhang, M. (2025). Human Rights Council’s Advisory Committee Questionnaire on Technology-Facilitated Gender-Based Violence against Women and Girls. Centre for Protecting Women Online, The Open University. https://oro.open.ac.uk/103317/.
Pavón Pérez, Á. (2025). Enhancing Fairness in Machine Learning: Identifying and Mitigating Bias with a Focus on Gender Bias in Finance. [Thesis] https://oro.open.ac.uk/102712/.
Bakina, K. and Pavon Perez, A. (2025). Response to the College of Policing consultation on data ethics and data driven technologies authorised professional practices. Centre for Protecting Women Online. https://oro.open.ac.uk/102231/.
Reyero Lobo, P., Mensio, M., Pavon Perez, A., Bayer, V., Kwarteng, J., Fernandez, M., Daga, E. and Alani, H. (2022). Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish. In: Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), 6-9 Jun 2022, Atlanta, Georgia. https://oro.open.ac.uk/83210/.
