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🔬 Research Summary by Aparna Balagopalan, a PhD student in the EECS department at the Massachusetts Institute of Technology, and her research aims to develop fair, interpretable, and robust models by carefully … [Read more...] about The Role of Relevance in Fair Ranking

🔬 Research Summary by Jurriaan van Diggelen, a Senior Researcher Responsible Military AI and Human-machine Teaming at TNO, the Netherlands. He is also chair of several NATO groups on Meaningful Human … [Read more...] about Designing for Meaningful Human Control in Military Human-Machine Teams

🔬 Research Summary by Joel Castaño Fernandez, a Data Science and Engineering undergraduate student and Research Assistant at the Polytechnic University of Catalonia working on Green AI on the assessment and study of ML … [Read more...] about Exploring the Carbon Footprint of Hugging Face’s ML Models: A Repository Mining Study

🔬 Research Summary by Mingxue Xu, a second-year PhD at Imperial College London, interested in ethical and energy-efficient issues in AI systems. [Original paper by Mingxue Xu, Tongtong Xu, and Po-Yu … [Read more...] about Private Training Set Inspection in MLaaS

🔬 Research Summary by Usman Gohar, a Ph.D. student in the Department of Computer Science at Iowa State University with a research focus on the safety and fairness of ML-based software. [Original paper by Usman … [Read more...] about A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation and Challenges