A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all

Member

Angel Pavon PerezMember status icon

PhD Research Student
Angel Pavon Perez Photograph

Telephone Icon +44 (0)1908 338390

Camera Icon RDF Icon

Twitter Icon LinkedIn Icon

Ángel 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, Ángel 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

17 Sep 2024


30 Jan 2024


09 May 2023


15 Jul 2022


26 Apr 2022

View all Articles

Publications

Publications | Visit External Site for Details  

Pavon Perez, A., Fernandez, M., Al-Madfai, H., Burel, G. and Alani, H. (2023) Tracking Machine Learning Bias Creep in Traditional and Online Lending Systems with Covariance Analysis, WebSci '23: 15th ACM Web Science Conference 2023, Austin, TX, USA

Publications | Visit External Site for Details  
Publications | Visit External Site for Details  

Pavon Perez, A. (2022) Bias in Artificial Intelligence Models in Financial Service, 2022 AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom

Publications | Visit External Site for Details  

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, Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), Atlanta, Georgia

View By

Research Themes

Latest Seminar
Prof Enrico Motta
KMi, The Open University

Using AI to capture representations of the political discourse in the news

Watch the live webcast

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team