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Susan Leavy
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2020 – today
- 2024
- [j5]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, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio:
AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 26(4): 63 (2024) - [j4]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, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio:
Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 26(4): 71 (2024) - [c16]Marion Bartl, Susan Leavy:
From Inclusive Language to Inclusive AI: A Proof-of-Concept Study into Pre-Trained Models. AEQUITAS@ECAI 2024 - [c15]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: 67-77 - [c14]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: 75-84 - [i13]Marion Bartl, Susan Leavy:
From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs. CoRR abs/2407.04434 (2024) - [i12]Qin Ruan, Jin Xu, Ruihai Dong, Arjumand Younus, Tai Tan Mai, Barry O'Sullivan, Susan Leavy:
ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms. CoRR abs/2409.12396 (2024) - [i11]Abhishek Mandal, Susan Leavy, Suzanne Little:
Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models. CoRR abs/2410.07884 (2024) - 2023
- [j3]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): 55 (2023) - [c13]Abhishek Mandal, Suzanne Little, Susan Leavy:
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI 2023 - [c12]Abhishek Mandal, Susan Leavy, Suzanne Little:
Measuring Bias in Multimodal Models: Multimodal Composite Association Score. BIAS 2023: 17-30 - [c11]Abhishek Mandal, Susan Leavy, Suzanne Little:
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? BMVC 2023: 629-632 - [c10]Abhishek Mandal, Suzanne Little, Susan Leavy:
Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. ICMI 2023: 416-424 - [i10]Abhishek Mandal, Susan Leavy, Suzanne Little:
Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. CoRR abs/2304.13855 (2023) - [i9]Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene:
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. CoRR abs/2306.08020 (2023) - [i8]Susan Leavy, Emilie Pine, Mark T. Keane:
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. CoRR abs/2308.02556 (2023) - [i7]Abhishek Mandal, Suzanne Little, Susan Leavy:
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. CoRR abs/2309.04997 (2023) - [i6]Abhishek Mandal, Susan Leavy, Suzanne Little:
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? CoRR abs/2309.08760 (2023) - 2022
- [c9]Marion Bartl, Susan Leavy:
Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases. LT-EDI 2022: 47-58 - [i5]Marion Bartl, Susan Leavy:
Towards Lexical Gender Inference: A Scalable Methodology using Online Databases. CoRR abs/2206.14055 (2022) - [i4]Susan Leavy:
Inclusive Ethical Design for Recommender Systems. CoRR abs/2209.13021 (2022) - 2021
- [c8]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: 695-703 - [c7]Abhishek Mandal, Susan Leavy, Suzanne Little:
Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. Trustworthy AI @ ACM Multimedia 2021: 19-25 - 2020
- [c6]Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene:
Mitigating Gender Bias in Machine Learning Data Sets. BIAS 2020: 12-26 - [c5]Derek Greene, Karen Wade, Susan Leavy, Gerardine Meaney:
Curatr: A Platform for Exploring and Curating Historical Text Corpora. DHN 2020: 247-253 - [i3]Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene:
Mitigating Gender Bias in Machine Learning Data Sets. CoRR abs/2005.06898 (2020) - [i2]Susan Leavy:
Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning. CoRR abs/2005.07734 (2020) - [i1]Susan Leavy, Barry O'Sullivan, Eugenia Siapera:
Data, Power and Bias in Artificial Intelligence. CoRR abs/2008.07341 (2020)
2010 – 2019
- 2019
- [j2]Susan Leavy:
Uncovering gender bias in newspaper coverage of Irish politicians using machine learning. Digit. Scholarsh. Humanit. 34(1): 48-63 (2019) - [j1]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): 110-122 (2019) - [c4]Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene:
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. MTSR 2019: 354-366 - 2018
- [c3]Susan Leavy:
Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning. GE@ICSE 2018: 14-16 - [c2]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: 687-690 - 2017
- [c1]Susan Leavy, Emilie Pine, Mark T. Keane:
Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. DH 2017 - 2014
- [b1]Susan Leavy:
Detecting gender bias in the coverage of politicians in Irish newspapers using automated text classification. Trinity College Dublin, Ireland, 2014
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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