This artificial intelligence, detailed in the journal Nature Communications, marks a step forward in achieving the “global sustainable development goals.” The research team’s unique “human-machine collaborative approach” outperforms traditional machine learning by enabling experts and AI to jointly evaluate economic indicators. The implications of this are huge, from monitoring poverty and employment to quickly responding to the impacts of climate change.
As the source code becomes publicly available on GitHub, the tool promises to “pave the way for a more equitable and sustainable global future by closing the data gap between developed and developing countries.”
Source: Ferra
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