馃敩 Research Summary by Eran Tal, Canada Research Chair in Data Ethics and Associate Professor of Philosophy at McGill University. He studies the
Tell me, what are you most afraid of? Exploring the Effects of Agent Representation on Information Disclosure in Human-Chatbot Interaction
馃敩 Research Summary by Stephan Schl枚gl, a professor of Human-Centered Computing at MCI - The Entrepreneurial School in Innsbruck (Austria), where his
People are not coins: Morally distinct types of predictions necessitate different fairness constraints
馃敩 Research Summary by Corinna Hertweck, a fourth-year PhD student at the University of Zurich and the Zurich University of Applied Sciences where she
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
馃敩 Research Summary by Shangbin Feng, Chan Young Park, and Yulia Tsvetkov. Shangbin Feng is a Ph.D. student at University of Washington.Chan
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
馃敩 Research Summary by Stephen Casper, an MIT PhD student working on AI interpretability, diagnostics, and safety. [Original paper by Stephen
A Critical Analysis of the What3Words Geocoding Algorithm
馃敩 Research Summary by Rudy Arthur, a Senior Lecturer in Data Science at the University of Exeter. [Original paper by Rudy
Confidence-Building Measures for Artificial Intelligence
馃敩 Research Summary by Andrew W. Reddie, Sarah Shoker, and Leah Walker. Andrew W. Reddie is an Associate Research Professor at the University
Self-Consuming Generative Models Go MAD
馃敩 Research Summary by Josue Casco-Rodriguez and Sina Alemohammad. Josue is a 2nd-year PhD student at Rice University. He is interested in
From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts
馃敩 Research Summary by Vishakha Agrawal, an independent researcher interested in human-AI collaboration, participatory AI and AI
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
馃敩 Research Summary by Faisal Hamman, a Ph.D. student at the University of Maryland, College Park. Faisal鈥檚 research focuses on Fairness,
Acceptable Risks in Europe鈥檚 Proposed AI Act: Reasonableness and Other Principles for Deciding How Much Risk Management Is Enough
馃敩 Research Summary by Dr. Henry Fraser, a Research Fellow in Law, Accountability, and Data Science at the Centre of Excellence for Automated
Open-source provisions for large models in the AI Act
馃敩 Research Summary by Harry Law and Sebastien A. Krier. Harry Law is an ethics and policy researcher at Google DeepMind, a PhD candidate at