Dr. Susan Leavy is an assistant professor at the School of Information and Communication Studies at University College Dublin and a funded investigator with Insight Centre for Data Analytics. Her research areas concern artificial intelligence, ethics, natural language processing and cultural analytics. Her recent work has focused on mitigating bias and discrimination in natural language processing and developing ethical frameworks for AI, founded in human rights and theories of social justice.
Susan earned a PhD in Computer Science at Trinity College Dublin, where she focused on uncovering gender bias in news coverage with machine learning. She also holds an MPhil in Gender and Women’s Studies (TCD), an MSc in Artificial Intelligence (Edinburgh University) and a BA in English and Philosophy (UCD). She worked internationally, managing the design and development of large-scale trading platforms in the finance sector. Susan is passionate about increasing diversity in those who design and develop AI systems.
Leavy, S. (2022). Inclusive Ethical Design for Recommender Systems. In Proceedings of the 5th Workshop on Responsible Recommendation. (FAccTRec)
Bartl, M., Leavy, S. (2022). Towards Lexical Gender Inference: A Scalable Methodology using Online Databases. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion. Association for Computational Linguistics, Dublin, Ireland. pp. 47-58
Leavy S., Siapera E., O’Sullivan B. (2021). Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race. In Proceedings of the 2021 AAAI/ACM