Yesterday Riddhi More presented our paper “Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models” at the 1st Int’l Workshop on Fairness in Software Systems (#FAIRNESS2025) in Montreal, Canada. 🇨🇦
Paper preprint, slides & code/data available at: bit.ly/4brEBJm
Paper preprint, slides & code/data available at: bit.ly/4brEBJm
March 5, 2025 at 2:45 PM
Yesterday Riddhi More presented our paper “Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models” at the 1st Int’l Workshop on Fairness in Software Systems (#FAIRNESS2025) in Montreal, Canada. 🇨🇦
Paper preprint, slides & code/data available at: bit.ly/4brEBJm
Paper preprint, slides & code/data available at: bit.ly/4brEBJm
MSc student Riddhi More & Prof. Jeremy Bradbury are in Montreal, PQ this week attending the IEEE Int’l Conference on Software Analysis, Evolution and Reengineering (#SANER2025) and the 1st Int’l Workshop on Fairness in Software Systems (#FAIRNESS2025).
March 4, 2025 at 4:12 PM
MSc student Riddhi More & Prof. Jeremy Bradbury are in Montreal, PQ this week attending the IEEE Int’l Conference on Software Analysis, Evolution and Reengineering (#SANER2025) and the 1st Int’l Workshop on Fairness in Software Systems (#FAIRNESS2025).
A great keynote by Foutse Khomh (@swatlab.bsky.social) on “Navigating Fairness Challenges in Intelligent Software Systems” at #FAIRNESS2025. I appreciated the emphasis on #AI model transparency, auditing and governance as essential to the development of fair systems that mitigate bias.
March 4, 2025 at 3:13 PM
A great keynote by Foutse Khomh (@swatlab.bsky.social) on “Navigating Fairness Challenges in Intelligent Software Systems” at #FAIRNESS2025. I appreciated the emphasis on #AI model transparency, auditing and governance as essential to the development of fair systems that mitigate bias.