Prácticas de gobernar y hacer inteligencias artificiales

  • José Miguel Samaniego Technical University of Munich, Germany
Palabras clave: Estándares de inteligencia artificial, CTS, ANT, Cartografía social, Multiplicidad ontológica

Resumen

Con un énfasis en Estudios de Ciencia y Tecnología, este ensayo investiga la estandarización de la IA. A través de una cartografía social y sus herramientas conceptuales subyacentes, concluye que los estándares de IA son híbridos sociotécnicos a través de varios dominios, compuestos de asociaciones entre entidades heterogéneas, que abordan múltiples inteligencias artificiales. Los estándares de inteligencia artificial son de alto interés porque son más que simples asuntos técnicos: son políticos, requieren de mucho trabajo socio–técnico y de infraestructura, y contribuyen a cómo se practica la inteligencia artificial. En las redes de relaciones de estandarización, la inteligencia artificial y otros asuntos relacionados son ontológicamente múltiples, lo que plantea importantes cuestiones sobre la política y la ética de la inteligencia artificial.

Biografía del autor/a

José Miguel Samaniego, Technical University of Munich, Germany

José Miguel Samaniego se licenció en Electrical/Mechanical Engineering en la Universidad Nacional de Loja. Consiguió un Máster en Science and Technology Studies (STS) por la Technical University of Munich (TUM). Ha trabajado como investigador asistente en el Reorganizing Industries Post/Doc Lab del Munich Center for
Technology in Society (MCTS), y como miembro del Bavarian Broadcast (BR) organization.

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Publicado
2018-12-31
Cómo citar
[1]
Samaniego, J.M. 2018. Prácticas de gobernar y hacer inteligencias artificiales. Disputatio. 7, 8 (dic. 2018), a010. DOI:https://doi.org/10.5281/zenodo.2552017.
Sección
Artículos y Ensayos