🔬 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
Core Principles of Responsible AI
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
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
🔬 Research Summary by Will Hawkins, Operational Ethics & Safety Lead at Google DeepMind. [Original paper by Will Hawkins & Brent Mittelstadt] Overview: Breakthrough AI research has increasingly … [Read more...] about The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
Oppenheimer As A Timely Warning to the AI Community
✍️ Original article by Eryn Rigley, a PhD research student at University of Southampton, specializing in the intersection of environmental and AI ethics, as well as defense & security AI ethics. Like many … [Read more...] about Oppenheimer As A Timely Warning to the AI Community