✍️ Column by Carlos Muñoz Ferrandis, RAIL Initiative, HuggingFace. Overview: Now that the debates around the EU AI Act are getting into their final stages (the Trilogue has already started), Hugging Face and … [Read more...] about Deciphering Open Source in the EU AI Act
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Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
🔬 Research Summary by Bang An, a Ph.D. student at the University of Maryland, College Park, specializing in trustworthy machine learning. [Original paper by Bang An, Zora Che, Mucong Ding, and Furong … [Read more...] about Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Moral Machine or Tyranny of the Majority?
🔬 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?
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?