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

arXiv 2409.14181 ↗First posted 21 Sep 2024cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 17 references that are in the map. First posted on arXiv 21 Sep 2024.

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6 of 17 references.

References · 6

  1. 2023Regulating ChatGPT and other Large Generative AI Modelscited by 102
  2. 2023Frontier AI Regulation: Managing Emerging Risks to Public Safetycited by 95
  3. 2020The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Researchcited by 67
  4. 2023Democratising AI: Multiple Meanings, Goals, and Methodscited by 29
  5. 2021Archives and AI: An Overview of Current Debates and Future Perspectivescited by 9
  6. 2022An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11)cited by 1

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