Publication: IA lenta y permacomputing: prácticas artísticas contranarrativas frente a la inteligencia artificial hegemónica.
Authors
Rangil Gallardo, Miguel ; Mañas Carbonell, Moisés
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Publisher
Universidad de Murcia: Servicio de Publicaciones
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DOI
https://doi.org/10.6018/reapi.704601
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info:eu-repo/semantics/article
Description
Abstract
Este artículo, de carácter teórico-crítico, examina una serie de prácticas artísticas vinculadas al movimiento slow AI (IA lenta) que operan como contranarrativas frente a la inteligencia artificial extractiva, centralizada y corporativa. Desde el marco del permacomputing, el texto propone tres categorías de análisis: infraestructura y materialidad; diseño y operabilidad; mediación y pedagogía; y las sostiene mediante un conjunto de casos de las artes digitales contemporáneas (2017-2025) seleccionados por su capacidad de materializar decisiones situadas características de la IA lenta. A través de estudios de casos como Compost Computer (2025), A definitively unfinished AI (2025) o Project Patching-ti hoeh koe (2024) se examinan restricciones deliberadas de energía, espera e intermitencia, junto con decisiones de ejecución local, documentación, modularidad, descentralización y curaduría de datos. Se argumenta que estas decisiones favorecen sistemas reactivables, legibles y mantenibles por comunidades y que desplazan la discusión desde el rendimiento hacia la gobernanza y el cuidado. Por último, se señalan posibles líneas de fortalecimiento iniciadas dentro del propio campo de las prácticas en IA lenta: infraestructuras offline-first, archivos situados y dispositivos pedagógicos de alfabetización crítica.
This article, of a theoretical-critical nature, examines a series of artistic practices linked to the slow AI movement that operate as counter-narratives to extractive, centralized, and corporate artificial intelligence. Working from the framework of permacomputing, the text proposes three categories of analysis: infrastructure and materiality; design and operability; and mediation and pedagogy; and it grounds them through a set of cases from contemporary digital arts (2017-2025), selected for their capacity to materialize the situated decisions characteristic of slow AI. Through case studies such as Compost Computer (2025), A definitively unfinished AI (2025), and Project Patching-ti hoeh koe (2024), the article examines deliberate constraints on energy, waiting, and intermittency, alongside decisions regarding local execution, documentation, modularity, decentralization, and data curation. It argues that these decisions favor systems that are reactivatable, legible, and maintainable by communities, and that they shift the discussion away from performance and toward governance and care. Finally, the article points to possible avenues for strengthening that have emerged from within the field of slow AI practices itself: offline-first infrastructures, situated archives, and pedagogical devices for critical literacy.
This article, of a theoretical-critical nature, examines a series of artistic practices linked to the slow AI movement that operate as counter-narratives to extractive, centralized, and corporate artificial intelligence. Working from the framework of permacomputing, the text proposes three categories of analysis: infrastructure and materiality; design and operability; and mediation and pedagogy; and it grounds them through a set of cases from contemporary digital arts (2017-2025), selected for their capacity to materialize the situated decisions characteristic of slow AI. Through case studies such as Compost Computer (2025), A definitively unfinished AI (2025), and Project Patching-ti hoeh koe (2024), the article examines deliberate constraints on energy, waiting, and intermittency, alongside decisions regarding local execution, documentation, modularity, decentralization, and data curation. It argues that these decisions favor systems that are reactivatable, legible, and maintainable by communities, and that they shift the discussion away from performance and toward governance and care. Finally, the article points to possible avenues for strengthening that have emerged from within the field of slow AI practices itself: offline-first infrastructures, situated archives, and pedagogical devices for critical literacy.
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Citation
Rangil Gallardo, M., & Mañas Carbonell, M. (2026). IA lenta y permacomputing: prácticas artísticas contranarrativas frente a la inteligencia artificial hegemónica. Arte Y Políticas De Identidad, 35, 9–24.
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