187 citations
- Washington University in St. LouisUS5 papers
- Harvard UniversityUS2 papers
- Harvard University PressUS2 papers
- IIT@MITUS2 papers
- University of California, BerkeleyUS2 papers
- Acteurs, Ressources et Territoires dans le DéveloppementFR1 paper
- American UniversityUS1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Berkeley CollegeUS1 paper
- Bioversity InternationalCO1 paper
- California State University, SacramentoUS1 paper
- CARE USAUS1 paper
17 papers
Galactic Electron-Positron Annihilation Emission from X-Ray Binaries with Transient and Persistent Jets
Argen Gian Detoito, Henric Krawczynski
The Galactic Center exhibits a persistent 0.511 MeV emission characteristic of electron-positron annihilation. Various astrophysical sources may be responsible for supplying the po…
Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures
Genevieve Smith, Hiral Patel, Steven Luo +20
Debates over open source and openness in artificial intelligence have intensified as policymakers, researchers, and practitioners grapple with how foundation models should be devel…
One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
Laurent Hébert-Dufresne, Yong-Yeol Ahn, Antoine Allard +15
From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of…
African Data Ethics: A Discursive Framework for Black Decolonial Data Science
Teanna Barrett, Chinasa T. Okolo, B. Biira +3
The shift towards pluralism in global data ethics acknowledges the importance of including perspectives from the Global Majority to develop responsible data science practices that…
The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter
Samuel J. Bell, Skyler Wang
Learning correlations from data forms the foundation of today's machine learning (ML) and artificial intelligence research. While contemporary methods enable the automatic discover…
"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships
Hongjin Lin, Naveena Karusala, Chinasa T. Okolo +2
Artificial Intelligence for Social Good (AI4SG) has emerged as a growing body of research and practice exploring the potential of AI technologies to tackle social issues. This area…