O chão de fábrica (brasileiro) da inteligência artificial: a produção de dados e o papel da comunicação entre trabalhadores de Appen e Lionbridge

Rafael Grohmann; Willian Fernandes Araújo

doi:10.5294/pacla.2021.24.3.8

Autores/as

Rafael Grohmann Autor/a Universidade do Vale do Rio dos Sinos https://orcid.org/0000-0003-1063-8668
Willian Fernandes Araújo Autor/a Universidade de Santa Cruz do Sul https://orcid.org/0000-0002-3271-6690

DOI:

https://doi.org/10.5294/pacla.2021.24.3.8

Palabras clave:

Inteligencia artificial, plataformas, producción de datos, trabajo, comunicación

Resumen

El artículo analiza, a través de una investigación exploratoria, el trabajo de los brasileños en plataformas globales de inteligencia artificial (IA), especialmente Appen y Lionbridge, con el fin de resaltar el papel de la comunicación y la producción de datos para la IA, describiendo las condiciones y complejidades del trabajo, como un “piso de fábrica de inteligencia artificial”. Para tal, a partir de entrevistas a trabajadores y observaciones en grupos de WhatsApp y Facebook, se llega a cinco categorías predominantes: procesos de contratación, seguimiento de tiempos y dificultades para acreditar horas trabajadas, falta de confiabilidad de la infraestructura, estrategias de trabajo y definición del trabajo, y comprensión de la IA. Del análisis sostenemos que, al contrario del universalismo, hay una geopolítica en el trabajo en plataformas de IA, en un colonialismo por medio de la IA. Destacamos las condiciones materiales de la producción de datos y el papel de la comunicación entre trabajadores como solidaridades emergentes y complejas, como grietas y roturas, con el propósito de construir estrategias para afrontar el trabajo en plataformas de IA.

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Biografía del autor/a

Rafael Grohmann, Universidade do Vale do Rio dos Sinos

Professor do Mestrado e Doutorado em Ciências da Comunicação da Universidade do Vale do Rio dos Sinos (Unisinos). Doutor em Ciências da Comunicação pela Universidade de São Paulo. Coordenador do Laboratório de Pesquisa DigiLabour e da newsletter DigiLAbour. Pesquisador Principal do projeto Fairwork no Brasil. Seus interesses de pesquisa incluem trabalho digital, cooperativismo de plataforma, dataficação, organização dos trabalhadores, comunicação e trabalho.

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