🔬 Research Summary by Michael Feffer, a Societal Computing PhD student at Carnegie Mellon University. [Original paper by Michael Feffer, Hoda Heidari, and Zachary C. Lipton] Overview: Given the increased … [Read more...] about Moral Machine or Tyranny of the Majority?
Research Summaries
Towards Environmentally Equitable AI via Geographical Load Balancing
🔬 Research Summary by Pengfei Li and Shaolei Ren Pengfei Li is a Ph.D. candidate in computer science and engineering at the University of California, Riverside. Shaolei Ren is an associate professor in … [Read more...] about Towards Environmentally Equitable AI via Geographical Load Balancing
Fairness Uncertainty Quantification: How certain are you that the model is fair?
🔬 Research Summary by Abhishek Roy, a post-doc at Halıcıoğlu Data Science Institute, UC San Diego [Original paper by Abhishek Roy and Prasant Mohapatra] Overview: Designing fair Machine Learning (ML) … [Read more...] about Fairness Uncertainty Quantification: How certain are you that the model is fair?
On the Impact of Machine Learning Randomness on Group Fairness
🔬 Research Summary by Prakhar Ganesh, incoming Ph.D. student at the University of Montreal and Mila; interested in studying the learning dynamics of neural networks at the intersection of fairness, robustness, privacy, … [Read more...] about On the Impact of Machine Learning Randomness on Group Fairness
Technological trajectories as an outcome of the structure-agency interplay at the national level: Insights from emerging varieties of AI
🔬 Research Summary by Dr. Cristian Gherhes, Founder & CEO of Lexverify and Visiting Fellow at Oxford Brookes University. [Original paper by Cristian Gherhes, Zhen Yu, Tim Vorley, and Lan Xue] Overview: … [Read more...] about Technological trajectories as an outcome of the structure-agency interplay at the national level: Insights from emerging varieties of AI