Datos abiertos en tiempos de inteligencia artificial

The article argues that artificial intelligence should not be viewed as a commercial service, but rather as a fundamental digital public infrastructure essential for social organization. This perspective redefines AI as the foundation upon which rights and power relations are structured, akin to essential systems such as healthcare or justice. By treating AI as infrastructure, the article emphasizes its capacity to profoundly shape human experience and institutional dynamics, compelling society to reconsider its governance from a standpoint of the common good. In this new paradigm, open data emerges as an indispensable cornerstone, as it feeds, operates, and enables the evaluation of algorithms. If the underlying database is not open, the infrastructure is inherently flawed from the outset, reproducing biases and technical opacity. Therefore, open and comprehensive access to all public data—rather than partial selections—is crucial to enable AI to detect hidden inequalities. The government has an inescapable role in ensuring this transparency, guaranteeing that the system’s design is plural, distributed, and free, thereby preventing the capture of the system by private interests and fostering personal autonomy. The relevance for the open data movement lies in its call for a “mission-driven governance” that prioritizes collective purposes over technical checklists. It urges against fragmenting efforts, advocating instead for the integral opening of the data ecosystem so that AI serves social justice and reduces inequalities rather than exacerbating them. This requires establishing common, interoperable protocols that facilitate the participation of diverse stakeholders, ensuring that data fulfills its emancipatory and democratic function by integrating critical domains such as health and education into a systemic vision.

Source: ictlogy.net
Published on 2025-10-01

Datos abiertos en tiempos de inteligencia artificial

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