🔬 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?
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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
Democracy, epistemic agency, and AI: Political Epistemology in Times of Artificial Intelligence
🔬 Research Summary by Giuliana Luz Grabina, a philosophy undergraduate student at McGill University, with an interest in AI/technology policy regulation from a gendered perspective. [Original paper by Mark … [Read more...] about Democracy, epistemic agency, and AI: Political Epistemology in Times of Artificial Intelligence
Creative Agents: Rethinking Agency and Creativity in Human and Artificial Systems
🔬 Research Summary by Caterina Moruzzi, Research Associate in Philosophy at the University of Konstanz, Germany. [Original paper by Caterina Moruzzi] Overview: The impact of the technological revolution of … [Read more...] about Creative Agents: Rethinking Agency and Creativity in Human and Artificial Systems