Na selva de pixels: formas de classificação e dinâmicas sociais em torno de imagens geradas por inteligência artificial

Debora Krischke Leitao; Daniella  Landrys

doi:10.20336/rbs.1015

Autores/as

Debora Krischke Leitao Université du Québec, Montréal, Canadá.
Daniella Landrys Université du Québec, Montréal, Canadá.

DOI:

https://doi.org/10.20336/rbs.1015

Palabras clave:

plataformas digitales, inteligencia artificial, imágenes, glitch

Resumen

Este artículo se basa en una investigación realizada mediante observación en línea y recopilación manual de comentarios e imágenes para analizar la dinámica social dentro de un grupo de intercambio de imágenes creadas con inteligencia artificial generativa. Nos centramos principalmente en una categoría de imágenes designadas por los miembros del grupo como Found in the wild: imágenes generadas por IA encontradas por casualidad en Internet, en un contexto de uso original en el que parecen ser imágenes “reales”, no producidas por medio de inteligencia artificial. Analizamos las imágenes compartidas allí y sus comentarios para discutir cómo los miembros del grupo deciden si una imagen es producto de la IA generativa. Estas imágenes, a menudo objeto de debate, resaltan la capacidad de los individuos para discernir su origen artificial, o la falta de él, y los tipos de conocimiento movilizados en este proceso.

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Biografía del autor/a

Debora Krischke Leitao, Université du Québec, Montréal, Canadá.

Doutora em Antropologia Social pela Universidade Federal do Rio Grande do Sul. Atualmente é professora do Departamento de Sociologia da Université du Québec.

Daniella Landrys, Université du Québec, Montréal, Canadá.

Mestre em Recherches et études sociologiques pela Universidade de Toulouse 2 Jean Jaurès. Atualmente é doutoranda e assistente de pesquisa e ensino na Université du Québec à Montréal.

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