Susan Leavy

According to our database, Susan Leavy authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio

Ethics Inf. Technol., December, 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, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio

Ethics Inf. Technol., December, 2024

Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models.

Abhishek Mandal, Susan Leavy, Suzanne Little

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

From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs.

Marion Bartl, Susan Leavy

CoRR, 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

Proceedings of the Companion Publication of the 16th ACM Web Science Conference, 2024

Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting.

Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

From Inclusive Language to Inclusive AI: A Proof-of-Concept Study into Pre-Trained Models.

Marion Bartl, Susan Leavy

Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023

Generative AI models should include detection mechanisms as a condition for public release.

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

Ethics Inf. Technol., December, 2023

Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models.

Abhishek Mandal, Susan Leavy, Suzanne Little

CoRR, 2023

Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques.

Abhishek Mandal, Suzanne Little, Susan Leavy

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?

Abhishek Mandal, Susan Leavy, Suzanne Little

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Measuring Bias in Multimodal Models: Multimodal Composite Association Score.

Abhishek Mandal, Susan Leavy, Suzanne Little

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture.

Abhishek Mandal, Suzanne Little, Susan Leavy

Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2022

Inclusive Ethical Design for Recommender Systems.

Susan Leavy

CoRR, 2022

Towards Lexical Gender Inference: A Scalable Methodology using Online Databases.

Marion Bartl, Susan Leavy

CoRR, 2022

Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases.

Marion Bartl, Susan Leavy

Proceedings of the Second Workshop on Language Technology for Equality, 2022

2021

Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval.

Abhishek Mandal, Susan Leavy, Suzanne Little

Proceedings of the Trustworthy AI'21: Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing, 2021

Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race.

Susan Leavy, Eugenia Siapera, Barry O'Sullivan

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Data, Power and Bias in Artificial Intelligence.

Susan Leavy, Barry O'Sullivan, Eugenia Siapera

CoRR, 2020

Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning.

Susan Leavy

CoRR, 2020

Curatr: A Platform for Exploring and Curating Historical Text Corpora.

Derek Greene, Karen Wade, Susan Leavy, Gerardine Meaney

Proceedings of the Digital Humanities in the Nordic Countries 5th Conference, 2020

Mitigating Gender Bias in Machine Learning Data Sets.

Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene

Proceedings of the Bias and Social Aspects in Search and Recommendation, 2020

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

Uncovering gender bias in newspaper coverage of Irish politicians using machine learning.

Susan Leavy

Digit. Scholarsh. Humanit., 2019

Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts.

Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene

Proceedings of the Metadata and Semantic Research - 13th International Conference, 2019

2018

Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning.

Susan Leavy, Emilie Pine, Mark T. Keane

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning.

Susan Leavy

Proceedings of the 2018 IEEE/ACM 1st International Workshop on Gender Equality in Software Engineering, 2018

2017

Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification.

Susan Leavy, Emilie Pine, Mark T. Keane

Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

2014

Detecting gender bias in the coverage of politicians in Irish newspapers using automated text classification

Susan Leavy

PhD thesis, 2014