Del periodismo de datos a la inteligencia artificial: desafíos que enfrenta La Nación en la implementación de la visión artificial para la producción de noticias
DOI:
https://doi.org/10.5294/pacla.2021.24.3.7Palabras clave:
Visión artificial, inteligencia artificial, aprendizaje automático, periodismo de datos, La Nación, tecnología, periodismo, ciencias de la computación, tecnología avanzadaResumen
El periodismo se encuentra en un punto de cambio radical que exige a las organizaciones desarrollar nuevas ideas y nuevos formatos para la presentación de noticias. Además, el aumento de los datos, los sensores y los avances tecnológicos, especialmente en el segmento móvil, han traído beneficios inconmensurables a muchos campos de la práctica periodística, en particular al periodismo de datos. Dada la relativa novedad y complejidad de la implementación de la inteligencia artificial (IA) en el periodismo, pocas áreas han logrado implementar hasta ahora soluciones de IA personalizadas en la industria de los medios. En este estudio, a través de un enfoque de método mixto que combina la observación participante y la entrevista, se explican los obstáculos y dificultades de implementar proyectos de noticias mediante la visión artificial, un subconjunto de la IA, en una organización de noticias líder en América Latina como el diario argentino La Nación. Los resultados destacan cuatro grandes dificultades para implementar la IA, más específicamente los proyectos de visión artificial que involucran el uso de imágenes satelitales: la falta de imágenes de alta resolución, la falta de disponibilidad de infraestructura tecnológica, la ausencia de personal cualificado para desarrollar dichos códigos y un proceso de implementación prolongado y costoso que requiere de una inversión significativa. El artículo concluye con una discusión sobre la centralidad de las soluciones de IA en manos de las grandes corporaciones tecnológicas.
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