Ethical Governance of AI in the Global South: A Human Rights Approach to Responsible Use of AI
Cómo establecer protocolos éticos en el diseño de aplicaciones de trazabilidad para pandemias
Accuracy, explainability, and avoidance of bias in AI-based medical resource allocations: A procedural fairness perspective
“Just” Accuracy? Procedural Fairness Requires Explainable and Accountable Algorithms in AI-based Medical Resource Allocations.
In AI-for-Healthcare We Trust? Ethical Determinants of Trustworthy AI-for-Healthcare
Can machine learning make naturalism about health truly naturalistic?
Ética y Derecho en la Revolución Digital
¿Porqué ética para la Inteligencia Artificial? Lo viejo, lo nuevo y lo espurio
Is Machine Learning a silver bullet for naturalism about health?
Machine learning, health, and the end of theory
May AI take health and sustainability on a honeymoon? Towards green SDTs for multidimensional health justice
Bias and social justice in AI contact tracing apps developed during COVID-19 pandemia: a scoping review
Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations.
Health disparities in AI-based medical triage and contact tracing during the COVID-19 pandemic
Biases in Assigning Emotions in Patients Due to Multicultural Issues
Bias in algorithms of AI systems developed for COVID-19: A scoping review
“Hay muchas formas de entender lo que es justo en salud”
Ramón Ortega, profesor de bioética, en la XXXIII
Escuela de Salud Pública de Menorca.
Bias in algorithms of AI systems developed for COVID-19: A scoping review
Background During the COVID-19 pandemic, one of the most widespread measures adopted to control, […]