Chile: Un modelo de gobernanza de inteligencia artificial

The article argues that Paraguay must prioritize building a robust technological ecosystem before attempting to regulate artificial intelligence, using Chile’s successful collaborative model as a blueprint. Chile achieved leadership in AI not through immediate legislation, but by first establishing national policies, fostering public-academic alliances, and creating self-sustaining research centers. This approach ensures that technology development is grounded in real societal needs and ethical frameworks, contrasting sharply with Paraguay’s current fragmented efforts and disconnected institutions. A key implication for open data is the opportunity for Paraguay to join the Latam-GPT initiative, an open collaborative effort to train large language models on regional datasets. By contributing local data, particularly indigenous languages like Guarani, Paraguay can combat the cultural and linguistic bias inherent in dominant English-centric AI systems. This participation would allow the country to reclaim its digital identity and ensure that AI tools reflect local realities, benefiting sectors from agriculture to public administration. This case is crucial for open data advocates because it highlights that data sovereignty and inclusive AI depend on active, organized contribution rather than passive consumption. The experience demonstrates that without a coherent national strategy and open data infrastructure, countries risk falling further behind and losing control over their technological narrative. Ultimately, true innovation requires transparent, community-driven data practices that align with national values, ensuring that AI serves social justice and democratic participation rather than external commercial interests.

Source: ultimahora.com
Published on 2025-08-10

Chile: Un modelo de gobernanza de inteligencia artificial

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