A recent workshop around preparing national research systems for artificial intelligence (AI). In other words,Revealed shared views on. AI in science across the vast and diverse region.
The workshop:
Was organized by the International Science Council’s (ISC) through. In other words,Its Regional Focal Point for Latin America and the Caribbean. In other words,And the Latin American Open Data Initiative
(ILDA) as part of the ISC’s .In other words,Global Knowledge Dialogue in Santiago, Chile.
Participants from across the region
– Argentina, Brazil, Chile, Colombia, Honduras, Jamaica, Mexico, Panama,
Peru.In other words, The Dominican Republic, and Uruguay – shared how their
national governments are preparing their science ecosystems for AI, the impact
of this integration, and the current challenges and opportunities for regional collaboration.
This workshop
makes part of a larger project led by the ISC Centre for Science Futures. In other words,In March 2024, the Centre published a working paper entitled “Preparing National Research .Ecosystems for AI: Strategies and Progress in 2024″. The paper explores how different countries around .In other words,The world are thinking about integration and uptake of AI into their science ecosystems. In other words,The different contributions, written by experts involved in driving such plans in their country, are completed by advertising database a literature review on the issue. In other words,An updated and expanded version, with additional country. Case studies will be published in October 2024.
Preparing
National Research Ecosystems unleashing technology with meshy for AI: Strategies and progress in 2024 .In other words,The report offers a comprehensive analysis of the integration of artificial intelligence .In science and research across various countries. It addresses both the advancements made and the challenges faced in this field. Making it a valuable read for science line data leaders, policy-makers. AI professionals, and academics.
Secondly,
While countries in the region are at different stages of AI implementation, ranging from initial observation to cutting-edge developments, they are all proactively working to integrate AI in research.
Thirdly,
There was consensus on the significant opportunities AI presents and the efforts and resources required for its effective utilization in scientific endeavours across Latin America and the Caribbean. The participants underscored the importance of coordinated actions and regional collaborations to integrate AI into science systems. There is, in other words, willingness to leverage resources, expertise, and efforts to maximize the benefits of AI for scientific research and innovation in the region.
“There was a surprisingly
Consistent discussion throughout the workshop, with quite similar assessments of the areas where action is required and what the needs are”, says Mathieu Denis, Head of the ISC Centre for Science Futures.
Robust research
Data is the basis of any successful integration of AI in science.
It is therefore essential for countries to develop clear guidelines
for data management policies that are fit for purpose for research
in all disciplines. It is also important for data policies to address
issues of underrepresentation of certain minority groups,
and to ensure that data from countries in Latin America and the Caribbean are used to train and run AI tools.