🔬 Research Summary by Caner Hazirbas, Research Scientist at Meta and Ph.D. graduate in Computer Vision from the Technical University of Munich. [Original paper by Caner Hazirbas, Alicia Sun, Yonathan Efroni, Mark … [Read more...] about The Bias of Harmful Label Associations in Vision-Language Models
Bias Mitigation
Careless Whisper: Speech-to-text Hallucination Harms
🔬 Research Summary by Allison Koenecke, an Assistant Professor of Information Science at Cornell University. Her research focuses on algorithmic fairness in online services. Overview: OpenAI’s speech-to-text … [Read more...] about Careless Whisper: Speech-to-text Hallucination Harms
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation (NeurIPS 2024)
🔬 Research Summary by Christopher Teo, PhD, Singapore University of Technology and Design (SUTD). [Original paper by Christopher T.H Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-man Cheung] Note: This paper, … [Read more...] about FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation (NeurIPS 2024)
On Measuring Fairness in Generative Modelling (NeurIPS 2023)
🔬 Research Summary by Christopher Teo, PhD, Singapore University of Technology and Design (SUTD). [Original paper by Christopher T.H.Teo, Milad Abdollahzadeh, and Ngai-Man Cheung] Note: This paper, On … [Read more...] about On Measuring Fairness in Generative Modelling (NeurIPS 2023)
Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work
🔬 Research Summary by Rishab Jain, a neuroscience & AI researcher at Massachusetts General Hospital and a student at Harvard College. [Original paper by Rishab Jain and Aditya Jain] Overview: The … [Read more...] about Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work