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A Roadmap for AI in Latin America
Nayat Sanchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia, Ricardo Baeza Yates, Marley Vellasco, Carlos Artemio Coello Coello

A Roadmap for AI in Latin America

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

If we want ensure that AI in the upcoming years is a positive factor of the development of Latin America we need to start acting now and stop doing the same thing over and over again. The recent past and the current context in the region clearly indicates that it is unlikely that we see any improvements in the resources and support that AI has, instead, it will probably be aggravated by the impact of the COVID-19 pandemic. Consequently, it is our role as researchers to visit this issue and attempt to propose a road map towards a solution. The driving motivation for this paper is to plant the seeds of a discussion on how to create a bottom-up and inclusive positive momentum for AI in the region, given the existing conditions, while, at the same time, reducing the potential negative impacts that it might have. We present this in the form of a roadmap or workflow that identifies the main obstacles that should be addressed and how they can be overcome by a combination focusing the work AI practitioners on particular research topics and that of decision markers and concern citizens.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title A Roadmap for AI in Latin America
Author / Organization Nayat Sanchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia, Ricardo Baeza Yates, Marley Vellasco, Carlos Artemio Coello Coello
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-188080
Original Source Link Visit Source Page on hal.science »