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Workshop
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Towards Better Fairness Metrics for Counter-Human Trafficking AI Initiatives
Vidya Sujaya · Pratheeksha Nair · Reihaneh Rabbany
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Poster
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Thu 16:30
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Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
Khai Nguyen · Nhat Ho
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Workshop
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Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
To Eun Kim · Fernando Diaz
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Workshop
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Integrating Participatory Methods with Technical Fairness Solutions: Enhancing Bias Mitigation and Equity in AI Systems
Abdoul Jalil Djiberou Mahamadou · Lea Goetz
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Workshop
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Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
Prakhar Ganesh · Usman Gohar · Lu Cheng · Golnoosh Farnadi
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Workshop
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Sat 17:27
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Towards Reliable Fairness Assessments of Multi-Label Image Classifiers
Melissa Hall · Bobbie Chern · Laura Gustafson · Denisse Ventura · Harshad Kulkarni · Candace Ross · Nicolas Usunier
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Workshop
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Towards Reliable Fairness Assessments of Multi-Label Image Classifiers
Melissa Hall · Bobbie Chern · Laura Gustafson · Denisse Ventura · Harshad Kulkarni · Candace Ross · Nicolas Usunier
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Workshop
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Multilingual Hallucination Gaps in Large Language Models
Cléa Chataigner · Afaf Taik · Golnoosh Farnadi
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Workshop
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Sat 17:27
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Multilingual Hallucination Gaps in Large Language Models
Cléa Chataigner · Afaf Taik · Golnoosh Farnadi
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Workshop
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Exploring AUC-like metrics to propose threshold-independent fairness evaluation
Daniel Gratti · Thalita Veronese · Marcos M. Raimundo
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Workshop
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Improving Bias Metrics in Vision-Language Models by Addressing Inherent Model Disabilities
Lakshmipathi Balaji Darur · Shanmukha Sai Keerthi Gouravarapu · Shashwat Goel · Ponnurangam Kumaraguru
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Workshop
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Sat 17:27
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Improving Bias Metrics in Vision-Language Models by Addressing Inherent Model Disabilities
Lakshmipathi Balaji Darur · Shanmukha Sai Keerthi Gouravarapu · Shashwat Goel · Ponnurangam Kumaraguru
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