AI Research Sesgos Covid-19 · UAB Team for AI Research

“Just” Accuracy? Procedural Fairness Requires Explainable and Accountable Algorithms in AI-based Medical Resource Allocations.

Accuracy, explainability, and avoidance of bias in AI-based medical resource allocations: A procedural fairness perspective

Bias and social justice in AI contact tracing apps developed during COVID-19 pandemia: a scoping review

Can machine learning make naturalism about health truly naturalistic?

Health disparities in AI-based medical triage and contact tracing during the COVID-19 pandemic

In AI-for-Healthcare We Trust? Ethical Determinants of Trustworthy AI-for-Healthcare

Is Machine Learning a silver bullet for naturalism about health?

Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations.

Machine learning, health, and the end of theory

May AI take health and sustainability on a honeymoon? Towards green SDTs for multidimensional health justice