🔬 Research Summary by Laurence Barry and Arthur Charpentier. Laurence Barry is an independent actuary and a researcher at PARI (Programme de Recherche sur l’Appréhension des Risques et des Incertitudes, ENSAE/ … [Read more...] about Melting contestation: insurance fairness and machine learning
Government
An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature
🔬 Research Summary by Amina Abdu, a Ph.D. candidate at the University of Michigan School of Information, where she researches how computational tools shape policy decisions. [Original paper by Amina A. Abdu, … [Read more...] about An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature
Embedding Ethical Principles into AI Predictive Tools for Migration Management in Humanitarian Action
🔬 Research Summary by Sofia Woo, a recent graduate from McGill University who studied History and Political Science, emphasizing scientific history and political economics. [Original paper by Andrea Guillén and … [Read more...] about Embedding Ethical Principles into AI Predictive Tools for Migration Management in Humanitarian Action
Defining a Research Testbed for Manned-Unmanned Teaming Research
🔬 Research Summary by Dr. James E. McCarthy and Dr. Lillian K.E. Asiala. Dr. McCarthy is Sonalysts’ Vice President of Instructional Systems and has 30+ years of experience developing adaptive training and … [Read more...] about Defining a Research Testbed for Manned-Unmanned Teaming Research
A Case for AI Safety via Law
🔬 Research Summary by Jeff Johnston, an independent researcher working on envisioning positive futures, AI safety and alignment via law, and Piaget-inspired constructivist approaches to artificial general … [Read more...] about A Case for AI Safety via Law