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 democratising artificial intelligence


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

arXiv.org 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.


Democratising Artificial Intelligence

#artificialintelligence

A new industrial revolution, largely based on automation, is around the corner and sooner or later will drastically change the way we live and organize ourselves. In future, artificial intelligence will increasingly contribute to this automation. Mr Verhofstadt warns us that we are already embarked on a biased one-way path where, either AI will make us superfluous or we find the means to collaboratively control its deployment and its social impact. The European Union took the initiative on this by adopting via its Parliament a resolution apparently following the South Korean model, and calling for rules governing AI and robotics. The paper could be an interesting read, especially those paragraphs about the dissolution of social ties (4.1.7) Nevertheless, they do not tackle the fundamental problem that concerns technological change, its impact on social classes and the concentration of capital it generates.