Susan Leavy

Orcid: 0000-0002-3679-2279

According to our database1, Susan Leavy authored at least 21 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2023
Generative AI models should include detection mechanisms as a condition for public release.
Ethics Inf. Technol., December, 2023

Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models.
CoRR, 2023

Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Measuring Bias in Multimodal Models: Multimodal Composite Association Score.
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.
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.
CoRR, 2022

Towards Lexical Gender Inference: A Scalable Methodology using Online Databases.
CoRR, 2022

Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

2021
Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval.
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.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Data, Power and Bias in Artificial Intelligence.
CoRR, 2020

Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning.
CoRR, 2020

Curatr: A Platform for Exploring and Curating Historical Text Corpora.
Proceedings of the Digital Humanities in the Nordic Countries 5th Conference, 2020

Mitigating Gender Bias in Machine Learning Data Sets.
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.
Digit. Scholarsh. Humanit., 2019

Uncovering gender bias in newspaper coverage of Irish politicians using machine learning.
Digit. Scholarsh. Humanit., 2019

Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts.
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.
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.
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.
Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017


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