| Gender bias in artificial intelligence: the need for diversity and gender theory in machine learning S Leavy ICSE ACM/IEEE 1st International Workshop on Gender Equality in Software …, 2018 | 481 | 2018 |
| Mitigating gender bias in machine learning data sets S Leavy, G Meaney, K Wade, D Greene Bias and Social Aspects in Search and Recommendation: First International …, 2020 | 68 | 2020 |
| Data, power and bias in artificial intelligence S Leavy, B O'Sullivan, E Siapera IJCAI Workshop on AI for Social Good, arXiv preprint arXiv:2008.07341, 2020 | 63 | 2020 |
| Ethical data curation for AI: An approach based on feminist epistemology and critical theories of race S Leavy, E Siapera, B O'Sullivan Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 695-703, 2021 | 47 | 2021 |
| Generative AI models should include detection mechanisms as a condition for public release A Knott, D Pedreschi, R Chatila, T Chakraborti, S Leavy, R Baeza-Yates, ... Ethics and Information Technology 25 (4), 55, 2023 | 36 | 2023 |
| How large language models can reshape collective intelligence JW Burton, E Lopez-Lopez, S Hechtlinger, Z Rahwan, S Aeschbach, ... Nature human behaviour 8 (9), 1643-1655, 2024 | 28 | 2024 |
| Dataset diversity: measuring and mitigating geographical bias in image search and retrieval A Mandal, S Leavy, S Little Proceedings of the 1st International Workshop on Trustworthy AI for …, 2021 | 27 | 2021 |
| Uncovering gender bias in newspaper coverage of Irish politicians using machine learning S Leavy Digital Scholarship in the Humanities https://arxiv.org/pdf/2005.07734.pdf …, 2019 | 24 | 2019 |
| Multimodal composite association score: Measuring gender bias in generative multimodal models A Mandal, S Leavy, S Little arXiv preprint arXiv:2304.13855, 2023 | 20 | 2023 |
| Re-reading the Ryan report: witnessing via and close and distant reading E Pine, S Leavy, MT Keane Éire-Ireland 52 (1), 198-215, 2017 | 17 | 2017 |
| Multimodal bias: Assessing gender bias in computer vision models with nlp techniques A Mandal, S Little, S Leavy Proceedings of the 25th International Conference on Multimodal Interaction …, 2023 | 12 | 2023 |
| Curatr: a platform for semantic analysis and curation of historical literary texts S Leavy, G Meaney, K Wade, D Greene Metadata and Semantic Research: 13th International Conference, MTSR 2019 …, 2019 | 12 | 2019 |
| Measuring bias in multimodal models: Multimodal composite association score A Mandal, S Leavy, S Little International Workshop on Algorithmic Bias in Search and Recommendation, 17-30, 2023 | 11 | 2023 |
| Uncovering gender bias in media coverage of politicians with machine learning S Leavy arXiv preprint arXiv:2005.07734, 2020 | 11 | 2020 |
| Gender bias in multimodal models: A transnational feminist approach considering geographical region and culture A Mandal, S Little, S Leavy arXiv preprint arXiv:2309.04997, 2023 | 8 | 2023 |
| Inferring gender: A scalable methodology for gender detection with online lexical databases M Bartl, S Leavy Proceedings of the Second Workshop on Language Technology for Equality …, 2022 | 8 | 2022 |
| From'Showgirls' to'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs M Bartl, S Leavy arXiv preprint arXiv:2407.04434, 2024 | 7 | 2024 |
| Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification S Leavy, MT Keane, E Pine Digital Humanities Conference, https://dh2017.adho.org/abstracts/098/098.pdf, 2017 | 7 | 2017 |
| Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? A Mandal, S Leavy, S Little arXiv preprint arXiv:2309.08760, 2023 | 6 | 2023 |
| Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding S Leavy, MT Keane, E Pine Digital Scholarship in the Humanities 34 (Supplement_1), i110-i122, 2019 | 6 | 2019 |
