Summary of Democratising Artificial Intelligence For Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries, by Andre De Carvalho et al.

Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries

by Andre de Carvalho, Robson Bonidia, Jude Dzevela Kong, Mariana Dauhajre, Claudio Struchiner, Guilherme Goedert, Peter F. Stadler, Maria Emilia Walter, Danilo Sanches, Troy Day, Marcia Castro, John Edmunds, Manuel Colome-Hidalgo, Demian Arturo Herrera Morban, Edian F. Franco, Cesar Ugarte-Gil, Patricia Espinoza-Lopez, Gabriel Carrasco-Escobar, Ulisses Rocha

First submitted to arxiv on: 21 Sep 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary This paper introduces The Global South AI for Pandemic & Epidemic Preparedness & Response Network (AI4PEP), a 16-project initiative across 16 countries in the Global South. AI4PEP aims to strengthen public health systems by leveraging Southern-led responsible AI solutions to improve prevention, preparedness, and response to infectious disease outbreaks. The network has a high potential to help fight infectious diseases, particularly in low- and middle-income countries, generating opportunities for widespread use of AI techniques to improve community health and well-being. To achieve this goal, the initiative will focus on developing AI tools to predict epidemic outbreaks, detect variants, trace contacts, discover new drugs, and combat misinformation. The paper also highlights the importance of AI governance in Latin American and Caribbean (LAC) countries, emphasizing the need for biotechnology innovations that benefit all communities.
Low	GrooveSquid.com (original content)	Low Difficulty Summary The Global South AI for Pandemic & Epidemic Preparedness & Response Network is a new initiative aiming to help fight infectious diseases. It’s like a team effort with 16 projects across 16 countries in the Global South. The goal is to make public health systems better by using responsible AI solutions. This will help prevent and prepare for disease outbreaks, especially in low-income countries where people need it most. The paper talks about how AI can be used to predict diseases, find new treatments, and stop misinformation from spreading. It also looks at the importance of making sure AI is fair and good for everyone.