Susan Leavy - RankMe

45 papers A 2B 1C 1Journal 23Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Review of Deep Packet Inspection for Network Security: From Traditional Techniques to Machine Learning Integration. ARES (Workshops 4) Teerath Kumar, Susan Leavy, Patrick Eustace, Edward Curry, Mamoona Naveed Asghar
2025	J	`jnl`	Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context. CoRR Marion Bartl, Thomas Brendan Murphy, Susan Leavy
2025	—	`conf`	Algorithmic Transparency: The EU Digital Services Act and Young People's Experiences of Online Platforms. EWAF Megan Nyhan, Susan Leavy, Pranav Narula, Kevin Doherty, Barry O'Sullivan, Ruihai Dong, Izzy Fox, Josephine Griffith
2025	J	`jnl`	Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey. ACM Comput. Surv. Marion Bartl, Abhishek Mandal, Susan Leavy, Suzanne Little
2025	J	`jnl`	International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Nestor Maslej, Conor McGlynn, Malcolm Murray, Shalaleh Rismani, Stephen Casper, Jessica Newman, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yanning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Noora AlMalek, Christian Busch, André Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report. CoRR Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2024	J	`jnl`	AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 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
2024	J	`jnl`	ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms. CoRR Qin Ruan, Jin Xu, Ruihai Dong, Arjumand Younus, Tai Tan Mai, Barry O'Sullivan, Susan Leavy
2024	J	`jnl`	Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 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
2024	—	`conf`	Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques. BEWARE@AI*IA Teerath Kumar, Abhishek Mandal, Susan Leavy, Suzanne Little, Alessandra Mileo, Malika Bendechache
2024	J	`jnl`	From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs. CoRR Marion Bartl, Susan Leavy
2024	—	`conf`	From Inclusive Language to Inclusive AI: A Proof-of-Concept Study into Pre-Trained Models. AEQUITAS@ECAI Marion Bartl, Susan Leavy
2024	J	`jnl`	Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models. CoRR Abhishek Mandal, Susan Leavy, Suzanne Little
2024	—	`conf`	Generated Bias: Auditing Internal Bias Dynamics of Text-to-Image Generative Models. ECCV Workshops (22) Abhishek Mandal, Susan Leavy, Suzanne Little
2024	A	`conf`	Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. UMAP Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong
2024	—	`conf`	Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. WebSci (Companion) Avigyan Bhattacharya, Tapabrata Chakraborti, Subhadip Basu, Alistair Knott, Dino Pedreschi, Raja G. Chatila, Susan Leavy, David M. Eyers, Paul D. Teal, Przemyslaw Biecek
2024	—	`conf`	Vulnerable by Design: Reconsidering User Vulnerability and Recommender Systems. BIR/IR4U2 Megan Nyhan, Josephine Griffith, Qin Ruan, Tai Tan Mai, Ruihai Dong, Susan Leavy
2023	A	`conf`	Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? BMVC Abhishek Mandal, Susan Leavy, Suzanne Little
2023	J	`jnl`	Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? CoRR Abhishek Mandal, Susan Leavy, Suzanne Little
2023	J	`jnl`	Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. CoRR Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
2023	—	`conf`	Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI Abhishek Mandal, Suzanne Little, Susan Leavy
2023	J	`jnl`	Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. CoRR Abhishek Mandal, Suzanne Little, Susan Leavy
2023	J	`jnl`	Generative AI models should include detection mechanisms as a condition for public release. Ethics Inf. Technol. 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
2023	J	`jnl`	Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. CoRR Susan Leavy, Emilie Pine, Mark T. Keane
2023	—	`conf`	Measuring Bias in Multimodal Models: Multimodal Composite Association Score. BIAS Abhishek Mandal, Susan Leavy, Suzanne Little
2023	B	`conf`	Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. ICMI Abhishek Mandal, Suzanne Little, Susan Leavy
2023	J	`jnl`	Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. CoRR Abhishek Mandal, Susan Leavy, Suzanne Little
2022	J	`jnl`	Inclusive Ethical Design for Recommender Systems. CoRR Susan Leavy
2022	—	`conf`	Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases. LT-EDI Marion Bartl, Susan Leavy
2022	J	`jnl`	Towards Lexical Gender Inference: A Scalable Methodology using Online Databases. CoRR Marion Bartl, Susan Leavy
2021	—	`conf`	Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. Trustworthy AI @ ACM Multimedia Abhishek Mandal, Susan Leavy, Suzanne Little
2021	C	`conf`	Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race. AIES Susan Leavy, Eugenia Siapera, Barry O'Sullivan
2020	—	`conf`	Curatr: A Platform for Exploring and Curating Historical Text Corpora. DHN Derek Greene, Karen Wade, Susan Leavy, Gerardine Meaney
2020	J	`jnl`	Data, Power and Bias in Artificial Intelligence. CoRR Susan Leavy, Barry O'Sullivan, Eugenia Siapera
2020	—	`conf`	Mitigating Gender Bias in Machine Learning Data Sets. BIAS Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
2020	J	`jnl`	Mitigating Gender Bias in Machine Learning Data Sets. CoRR Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
2020	J	`jnl`	Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning. CoRR Susan Leavy
2019	—	`conf`	Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. MTSR Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene
2019	J	`jnl`	Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding. Digit. Scholarsh. Humanit. Susan Leavy, Mark T. Keane, Emilie Pine
2019	J	`jnl`	Uncovering gender bias in newspaper coverage of Irish politicians using machine learning. Digit. Scholarsh. Humanit. Susan Leavy
2018	—	`conf`	Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning. GE@ICSE Susan Leavy
2018	—	`conf`	Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. ECML/PKDD (3) Susan Leavy, Emilie Pine, Mark T. Keane
2017	—	`conf`	Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. DH Susan Leavy, Emilie Pine, Mark T. Keane
2014	—	`—`	Detecting gender bias in the coverage of politicians in Irish newspapers using automated text classification Susan Leavy