Detecting gender bias in the coverage of politicians in Irish newspapers using automated text classification - Susan Leavy (2014)

Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. - Susan Leavy; Emilie Pine; Mark T. Keane (DH, 2017)

Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning. - Susan Leavy (GE@ICSE, 2018)

Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. - Susan Leavy; Emilie Pine; Mark T. Keane (ECML/PKDD (3), 2018)

Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. - Susan Leavy; Gerardine Meaney; Karen Wade; Derek Greene (MTSR, 2019)

Uncovering gender bias in newspaper coverage of Irish politicians using machine learning. - Susan Leavy (Digit. Scholarsh. Humanit., 2019)

Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding. - Susan Leavy; Mark T. Keane; Emilie Pine (Digit. Scholarsh. Humanit., 2019)

Mitigating Gender Bias in Machine Learning Data Sets. - Susan Leavy; Gerardine Meaney; Karen Wade; Derek Greene (BIAS, 2020)

Curatr: A Platform for Exploring and Curating Historical Text Corpora. - Derek Greene; Karen Wade; Susan Leavy; Gerardine Meaney (DHN, 2020)

Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning. - Susan Leavy (CoRR, 2020)

Data, Power and Bias in Artificial Intelligence. - Susan Leavy; Barry O'Sullivan; Eugenia Siapera (CoRR, 2020)

Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race. - Susan Leavy; Eugenia Siapera; Barry O'Sullivan (AIES, 2021)

Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. - Abhishek Mandal; Susan Leavy; Suzanne Little (Trustworthy AI @ ACM Multimedia, 2021)

Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases. - Marion Bartl; Susan Leavy (LT-EDI, 2022)

Towards Lexical Gender Inference: A Scalable Methodology using Online Databases. - Marion Bartl; Susan Leavy (CoRR, 2022)

Inclusive Ethical Design for Recommender Systems. - Susan Leavy (CoRR, 2022)

Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. - Abhishek Mandal; Suzanne Little; Susan Leavy (AEQUITAS@ECAI, 2023)

Measuring Bias in Multimodal Models: Multimodal Composite Association Score. - Abhishek Mandal; Susan Leavy; Suzanne Little (BIAS, 2023)

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? - Abhishek Mandal; Susan Leavy; Suzanne Little (BMVC, 2023)

Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. - Abhishek Mandal; Suzanne Little; Susan Leavy (ICMI, 2023)

Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. - Abhishek Mandal; Susan Leavy; Suzanne Little (CoRR, 2023)

Generative AI models should include detection mechanisms as a condition for public release. - Alistair Knott; Dino Pedreschi; Raja Chatila 001; Tapabrata Chakraborti; Susan Leavy; Ricardo Baeza-Yates; David M. Eyers; Andrew Trotman; Paul D. Teal; Przemyslaw Biecek; Stuart Russell 001; Yoshua Bengio (Ethics Inf. Technol., 2023)

From Inclusive Language to Inclusive AI: A Proof-of-Concept Study into Pre-Trained Models. - Marion Bartl; Susan Leavy (AEQUITAS@ECAI, 2024)

Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques. - Teerath Kumar; Abhishek Mandal; Susan Leavy; Suzanne Little; Alessandra Mileo; Malika Bendechache (BEWARE@AI*IA, 2024)

Vulnerable by Design: Reconsidering User Vulnerability and Recommender Systems. - Megan Nyhan; Josephine Griffith; Qin Ruan; Tai Tan Mai; Ruihai Dong; Susan Leavy (BIR/IR4U2, 2024)

Generated Bias: Auditing Internal Bias Dynamics of Text-to-Image Generative Models. - Abhishek Mandal; Susan Leavy; Suzanne Little (ECCV Workshops (22), 2024)

Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. - Qin Ruan; Jin Xu; Susan Leavy; Brian Mac Namee; Ruihai Dong (UMAP, 2024)

Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. - Avigyan Bhattacharya; Tapabrata Chakraborti; Subhadip Basu; Alistair Knott; Dino Pedreschi; Raja G. Chatila; Susan Leavy; David M. Eyers; Paul D. Teal; Przemyslaw Biecek (WebSci (Companion), 2024)

From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs. - Marion Bartl; Susan Leavy (CoRR, 2024)

ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms. - Qin Ruan; Jin Xu; Ruihai Dong; Arjumand Younus; Tai Tan Mai; Barry O'Sullivan; Susan Leavy (CoRR, 2024)

Rewritten Media Bias News Headlines. - Qin Ruan; Jin Xu; Susan Leavy; Brian Mac Namee; Ruihai Dong (Zenodo, 2024)

AI content detection in the emerging information ecosystem: new obligations for media and tech companies. - Alistair Knott; Dino Pedreschi; Toshiya Jitsuzumi; Susan Leavy; David M. Eyers; Tapabrata Chakraborti; Andrew Trotman; Sundar Sundareswaran; Ricardo Baeza-Yates; Przemyslaw Biecek; Adrian Weller; Paul D. Teal; et al. (Ethics Inf. Technol., 2024)

Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. - Alistair Knott; Dino Pedreschi; Toshiya Jitsuzumi; Susan Leavy; David M. Eyers; Tapabrata Chakraborti; Andrew Trotman; Sundar Sundareswaran; Ricardo Baeza-Yates; Przemyslaw Biecek; Adrian Weller; Paul D. Teal; et al. (Ethics Inf. Technol., 2024)

A Review of Deep Packet Inspection for Network Security: From Traditional Techniques to Machine Learning Integration. - Teerath Kumar; Susan Leavy; Patrick Eustace; Edward Curry; Mamoona Naveed Asghar (ARES (Workshops 4), 2025)

Algorithmic Transparency: The EU Digital Services Act and Young People's Experiences of Online Platforms. - Megan Nyhan; Susan Leavy; Pranav Narula; Kevin Doherty; Barry O'Sullivan; Ruihai Dong; Izzy Fox; Josephine Griffith (EWAF, 2025)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)

Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context. - Marion Bartl; Thomas Brendan Murphy; Susan Leavy (CoRR, 2025)

Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey. - Marion Bartl; Abhishek Mandal; Susan Leavy; Suzanne Little (ACM Comput. Surv., 2025)