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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.

Beyond Project Cybersyn: Tracing the Influence of Stafford Beer Projects and Ideas in Latin America

This research paper explores Stafford Beer’s lesser-known journeys and collaborations in Latin America beyond the well-known Chilean project Cybersyn. It traces Beer’s involvement in the region back to the 1960s through his company SIGMA and its projects in Chile, as well as its attempts to expand into other Latin American countries. The paper also sheds light on a relatively unknown project in the 1970s in Peru, the Centre for the Study of People’s Participation (CENTRO), which was influenced by Beer’s ideas on real-time enterprise information and control systems. Furthermore, it explores Beer’s involvement in various projects across Latin America during the 1980s and 1990s, as the region gradually returned to democracy, including cases in Mexico, Uruguay (URUCIB), Venezuela (Cybervenez), and Colombia. While some implementations, particularly in Uruguay and Colombia, demonstrated the Viable System Model’s (VSM) potential for fostering genuine organizational democracy and social transformation, others in Mexico and Venezuela failed due to political instability or systemic corruption. The paper argues that though Beer’s VSM is often characterized as purely technocratic, its implementation in Latin America reveals that while sometimes appropriated by neoliberal reforms, it also aligned with regional aspirations for social transformation and creative liberation through the use of technology, challenging persistent biases about where technological innovation can originate.

This paper is part of an ongoing research on the history of cybernetics, which is mostly based on archival research and oral histories. I am particularly grateful to Carlos de Senna Figueiredo and Angela Espinosa, who have contributed with invaluable information ever since I started this research. I am also grateful to the Stafford Beer Collection at Liverpool John Moores University (Emily Parsons) and the team at Darcy and Berta Ribeiro Archive at the University of Brasilia (José Ronaldo Cunha, Katiane Brito and Janaina Dos Santos Melo), as well as to the ILO Archives in Geneva (Jacques Rodriguez). For this research, I interviewed a number of people to whom I am grateful: Víctor Ganón, Joan Garcés, Allenna Leonard, and Francisco Sagasti.

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Mariátegui, José-Carlos. 2025. «Beyond Project Cybersyn: Tracing the Influence of Stafford Beer Projects and Ideas in Latin America.» Systemic Practice and Action Research 38 (2): 9. https://doi.org/10.1007/s11213-025-09717-2. https://doi.org/10.1007/s11213-025-09717-2.