Susan Leavy

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Machine Learning

Top Venues

Digit. Scholarsh. Humanit.

Publications

Avigyan Bhattacharya, Tapabrata Chakraborti, Subhadip Basu, Alistair Knott, Dino Pedreschi, Raja G. Chatila, Susan Leavy, David M. Eyers, Paul D. Teal, Przemyslaw Biecek
Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. WebSci (Companion) (2024)
Marion Bartl, Susan Leavy
From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs. CoRR (2024)
Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong
Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. UMAP (2024)
Abhishek Mandal, Susan Leavy, Suzanne Little
Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. CoRR (2023)
Susan Leavy, Emilie Pine, Mark T. Keane
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. CoRR (2023)
Abhishek Mandal, Suzanne Little, Susan Leavy
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. CoRR (2023)
Abhishek Mandal, Suzanne Little, Susan Leavy
Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. ICMI (2023)
Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. CoRR (2023)
Alistair Knott, Dino Pedreschi, Raja Chatila, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David M. Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell, Yoshua Bengio
Generative AI models should include detection mechanisms as a condition for public release. Ethics Inf. Technol. 25 (4) (2023)
Abhishek Mandal, Susan Leavy, Suzanne Little
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? CoRR (2023)
Abhishek Mandal, Suzanne Little, Susan Leavy
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI (2023)
Abhishek Mandal, Susan Leavy, Suzanne Little
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? BMVC (2023)
Abhishek Mandal, Susan Leavy, Suzanne Little
Measuring Bias in Multimodal Models: Multimodal Composite Association Score. BIAS (2023)
Marion Bartl, Susan Leavy
Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases. LT-EDI (2022)
Marion Bartl, Susan Leavy
Towards Lexical Gender Inference: A Scalable Methodology using Online Databases. CoRR (2022)
Susan Leavy
Inclusive Ethical Design for Recommender Systems. CoRR (2022)
Abhishek Mandal, Susan Leavy, Suzanne Little
Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. Trustworthy AI @ ACM Multimedia (2021)
Susan Leavy, Eugenia Siapera, Barry O'Sullivan
Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race. AIES (2021)
Susan Leavy, Barry O'Sullivan, Eugenia Siapera
Data, Power and Bias in Artificial Intelligence. CoRR (2020)
Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
Mitigating Gender Bias in Machine Learning Data Sets. BIAS (2020)
Derek Greene, Karen Wade, Susan Leavy, Gerardine Meaney
Curatr: A Platform for Exploring and Curating Historical Text Corpora. DHN (2020)
Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
Mitigating Gender Bias in Machine Learning Data Sets. CoRR (2020)
Susan Leavy
Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning. CoRR (2020)
Susan Leavy, Mark T. Keane, Emilie Pine
Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding. Digit. Scholarsh. Humanit. 34 (Supplement-1) (2019)
Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. MTSR (2019)
Susan Leavy
Uncovering gender bias in newspaper coverage of Irish politicians using machine learning. Digit. Scholarsh. Humanit. 34 (1) (2019)
Susan Leavy, Emilie Pine, Mark T. Keane
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. ECML/PKDD (3) (2018)
Susan Leavy
Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning. GE@ICSE (2018)
Susan Leavy, Emilie Pine, Mark T. Keane
Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. DH (2017)