In Latin America and the Caribbean, the decisive factors for the future health workforce are manifold. The health workforce is the backbone of healthcare, with the common goal of improving the health of individuals and populations, but its characteristics, competencies and functions are evolving gradually. In attempting to predict the attributes and roles of the health workforce in the future, it is essential to examine social, occupational, cultural and technological contexts and trends, including those related to health, education and the environment.

This policy note comprehensively summarizes the relationships between climate change and health, opportunities for contribution, and specific recommendations for intervention. The first section characterizes the impact of climate change on the health of populations and on health systems. The population can be directly affected by climate change, for example through heat waves and indirectly, e.g., through the effect of droughts on air pollution and food availability.

The AI is a very powerful tool that can help solve complex problems, as long as it is contextualized within the public policy problem that it seeks to solve, and the ethical and legal problems involved in the application of automatic decision-making tools are addressed. This manual is part of a series of documents and tools aimed at guiding policymakers and their technical teams in mitigating the challenges inherent in AI-based decision support systems and in promoting their responsible adoption.

A pesar de que existe un número importante de principios que buscan una IA ética, solo proporcionan una orientación de alto nivel sobre lo que debe o no hacerse en su desarrollo y existe muy poca claridad sobre cuáles son las mejores prácticas para ponerlas en funcionamiento. El objetivo de este manual es proveer recomendaciones y buenas prácticas técnicas con el fin de evitar resultados contrarios (muchas veces inesperados) a los objetivos de los tomadores de decisiones.

Automated decision support systems (ADS) are machine-based systems that can make predictions, recommendations, or decisions influencing real or virtual environments for a given set of human-defined objectives. These systems are designed to operate with varying levels of autonomy. Over the last few years, ADS have grown exponentially in number and application areas. Currently, we interact with an increasing number of ADS, often without even noticing it.

In Chile, students with disabilities experienced greater difficulties in accessing well-established post-secondary institutions during the pandemic than did their peers without disabilities. For students with disabilities, the pandemic disproportionally reduced the probability of taking the general admission test for tertiary education and the probability of enrolling in a high-quality institution. This increased inequality in tertiary education.