2 papers
cs.CY2026
From Awareness to Action: Understanding and Overcoming the Research-Practice Gap in Algorithmic Fairness for Public Health
Sara Altamirano, Tijs Portegies, Sennay Ghebreab
Algorithmic fairness is essential for responsible ML-driven public health research, yet its practical implementation remains limited. To investigate this awareness-action gap, we c…
cs.AI2025
Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review
Sara Altamirano, Arjan Vreeken, Sennay Ghebreab
Machine learning (ML) promises to revolutionize public health through improved surveillance, risk stratification, and resource allocation. However, without systematic attention to…