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| Format: | Preprint |
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2024
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| Online-Zugang: | https://arxiv.org/abs/2409.14181 |
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| author | de Carvalho, Andre Bonidia, Robson Kong, Jude Dzevela Dauhajre, Mariana Struchiner, Claudio Goedert, Guilherme Stadler, Peter F. Walter, Maria Emilia Sanches, Danilo Day, Troy Castro, Marcia Edmunds, John Colome-Hidalgo, Manuel Morban, Demian Arturo Herrera Franco, Edian F. Ugarte-Gil, Cesar Espinoza-Lopez, Patricia Carrasco-Escobar, Gabriel Rocha, Ulisses |
| author_facet | de Carvalho, Andre Bonidia, Robson Kong, Jude Dzevela Dauhajre, Mariana Struchiner, Claudio Goedert, Guilherme Stadler, Peter F. Walter, Maria Emilia Sanches, Danilo Day, Troy Castro, Marcia Edmunds, John Colome-Hidalgo, Manuel Morban, Demian Arturo Herrera Franco, Edian F. Ugarte-Gil, Cesar Espinoza-Lopez, Patricia Carrasco-Escobar, Gabriel Rocha, Ulisses |
| contents | Infectious diseases, transmitted directly or indirectly, are among the leading causes of epidemics and pandemics. Consequently, several open challenges exist in predicting epidemic outbreaks, detecting variants, tracing contacts, discovering new drugs, and fighting misinformation. Artificial Intelligence (AI) can provide tools to deal with these scenarios, demonstrating promising results in the fight against the COVID-19 pandemic. AI is becoming increasingly integrated into various aspects of society. However, ensuring that AI benefits are distributed equitably and that they are used responsibly is crucial. Multiple countries are creating regulations to address these concerns, but the borderless nature of AI requires global cooperation to define regulatory and guideline consensus. Considering this, The Global South AI for Pandemic & Epidemic Preparedness & Response Network (AI4PEP) has developed an initiative comprising 16 projects across 16 countries in the Global South, seeking to strengthen equitable and responsive public health systems that leverage Southern-led responsible AI solutions to improve prevention, preparedness, and response to emerging and re-emerging infectious disease outbreaks. This opinion introduces our branches in Latin American and Caribbean (LAC) countries and discusses AI governance in LAC in the light of biotechnology. Our network in LAC has high potential to help fight infectious diseases, particularly in low- and middle-income countries, generating opportunities for the widespread use of AI techniques to improve the health and well-being of their communities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_14181 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries de Carvalho, Andre Bonidia, Robson Kong, Jude Dzevela Dauhajre, Mariana Struchiner, Claudio Goedert, Guilherme Stadler, Peter F. Walter, Maria Emilia Sanches, Danilo Day, Troy Castro, Marcia Edmunds, John Colome-Hidalgo, Manuel Morban, Demian Arturo Herrera Franco, Edian F. Ugarte-Gil, Cesar Espinoza-Lopez, Patricia Carrasco-Escobar, Gabriel Rocha, Ulisses Artificial Intelligence Infectious diseases, transmitted directly or indirectly, are among the leading causes of epidemics and pandemics. Consequently, several open challenges exist in predicting epidemic outbreaks, detecting variants, tracing contacts, discovering new drugs, and fighting misinformation. Artificial Intelligence (AI) can provide tools to deal with these scenarios, demonstrating promising results in the fight against the COVID-19 pandemic. AI is becoming increasingly integrated into various aspects of society. However, ensuring that AI benefits are distributed equitably and that they are used responsibly is crucial. Multiple countries are creating regulations to address these concerns, but the borderless nature of AI requires global cooperation to define regulatory and guideline consensus. Considering this, The Global South AI for Pandemic & Epidemic Preparedness & Response Network (AI4PEP) has developed an initiative comprising 16 projects across 16 countries in the Global South, seeking to strengthen equitable and responsive public health systems that leverage Southern-led responsible AI solutions to improve prevention, preparedness, and response to emerging and re-emerging infectious disease outbreaks. This opinion introduces our branches in Latin American and Caribbean (LAC) countries and discusses AI governance in LAC in the light of biotechnology. Our network in LAC has high potential to help fight infectious diseases, particularly in low- and middle-income countries, generating opportunities for the widespread use of AI techniques to improve the health and well-being of their communities. |
| title | Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2409.14181 |