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Digital Museum. Intelligences and Artifices

This bilingual edition explores the role of museums in the digital age, with a special focus on exploring and discussing digital practices and global perspectives; it also recognizes the rich history of art and technology in the region. The publication is structured in two main sections: «Future Technologies: Memory, Languages and Knowledges”, discussing indigenous knowledge systems and their relationship with new technologies; and, «The Museum as Laboratory: Technology, Data and New Artistic Practices”, exploring how museums can function as laboratories for knowledge and experimentation.   Both topics aim at discussing not only the impact of digitalisation and technology in museums, but mostly, how the museum should be reconfigured for the 21st century challenges. 

Museo Digital: inteligencias y artificios / Digital Museum. Intelligences and Artifices is published by Museo Universitario Arte Contemporáneo (MUAC) of the National Autonomous University of Mexico (UNAM) with the support of Telefónica Movistar Foundation México.  

Book edited by José-Carlos Mariátegui (Peru/UK).
Contributors include: Sara Diamond (Canada), Ulises Mejías (Mexico/USA), Roberto Zariquiey (Peru), Priscilla Molina Muñoz (Costa Rica), Fernanda Pita (Brazil), Yásnaya Elena Gil (Mexico), Bruno Moreschi (Brazil), Bernardo Fontes (Brazil), Luz María Bedoya (Peru), Juan Cortés (Colombia), and Luis Martínez-Uribe (Spain).   

Available on open access in Spanish and English 

This book emerged from the third edition of the International Digital Museum Conference, which I curated and brought together artists, researchers, and cultural managers to reimagine museums in the digital era.


Mariátegui, José-Carlos, ed. 2025. Digital Museum. Intelligences and Artifices. Edited by José-Carlos Mariátegui. Mexico: Museo Universitario Arte Contemporáneo – MUAC, Universidad Nacional Autónoma de México – UNAM.

Limitations of the Linnaean categorization model in the age of Al

Much of the current conversation around AI focuses on bias, ethics, and governance — but rarely does it dig into the history of categories themselves and their lasting impact.

In this paper in the Cambridge Forum on AI: Culture and Society, Juan Cortés and I argue that Linnaean classification — rigid hierarchies and fixed labels — has quietly become the template for how we structure data, metadata, and annotation pipelines, systematically sidelining Indigenous knowledge systems that have understood nature as a living web of relationships for millennia. The categories shaping how we train models were designed in the 18th century to sort and control the natural world.

Drawing on Buffon’s dynamic vision of nature, Kakataibo taxonomies from the Peruvian Amazon, K’iche’ Maya maize cosmology, and other ethnobiological systems from Latin America, we argue why a new classification built on multiplicity, relationality, and cultural context, rather than fixed schemas, what we call rhizomatic hylomorphism, generates living maps where meaning emerges from relationships rather than predetermined labels.

Read the full piece (open access)


Cortes, Juan, and José-Carlos Mariátegui. 2026. «Limitations of the Linnaean categorization model in the age of AI.» Cambridge Forum on AI: Culture and Society 2 (AI & Archives): e5. https://doi.org/10.1017/cfc.2025.10010.

Cambridge Forum on AI: Culture and Society, Themed Issue: AI & Archives
Guest edited by Katie Mackinnon, Louis Ravn, Nanna Thylstrup Joo Eun Seo and Caroline Bassett.