Con datos abiertos la IA puede ayudar a enfrentar el cambio climático en América Latina

The article argues that addressing climate change in Latin America requires shifting the focus from merely adopting artificial intelligence to critically selecting the underlying open data and defining clear public purposes. By showcasing successful initiatives from Colombia and Uruguay, it demonstrates that AI can effectively mitigate environmental risks, such as floods and landslides, but only when driven by specific local problems rather than technological availability. Regarding open data, this highlights a crucial evolution: the priority must shift from simply publishing datasets to ensuring their quality, interoperability, and accessibility. AI systems depend on high-quality data to be transparent, auditable, and socially valuable. Therefore, maintaining an open data agenda is essential not as a bureaucratic formality, but as foundational infrastructure that enables AI solutions to be useful, ethical, and responsive to real-world citizen needs. Ultimately, the text emphasizes that building responsible AI is a collective effort involving governments, civil society, and academia. Innovation cannot stem from algorithms alone; it requires community participation to identify gaps in information and ensure diverse representation. This collaborative approach ensures that AI developments are grounded in local realities, fostering a region-specific strategy that prioritizes public interest and effective policy implementation over imported technological fixes.

Source: lasillavacia.com
Published on 2026-09-23

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