🔬 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)
Fairness
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)
AI Ethics and Ordoliberalism 2.0: Towards A ‘Digital Bill of Rights
🔬 Research Summary by Manuel Wörsdörfer, an Assistant Professor of Management and Computing Ethics at the Maine Business School and School of Computing and Information Science at the University of … [Read more...] about AI Ethics and Ordoliberalism 2.0: Towards A ‘Digital Bill of Rights
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
A technical study on the feasibility of using proxy methods for algorithmic bias monitoring in a privacy-preserving way
🔬 Research Summary by Beckett LeClair, a Senior Engineer at Frazer-Nash Consultancy and vocal proponent for ethical AI futures. [Original paper by Beckett LeClair, William Parker, and Amanda … [Read more...] about A technical study on the feasibility of using proxy methods for algorithmic bias monitoring in a privacy-preserving way