GAITANA IA: Participation, Authority and Synthetic Political Representation

Synthetic political actors are beginning to mediate the relation between citizens and representative institutions, but analyses often treat citizen participation as a single relation. GAITANA IA, a Colombian 2026 electoral initiative associated with human candidacies in the Special Indigenous Constituency, illustrates why that simplification is inadequate. The project combined an Indigenous-coded synthetic persona, a digital participant forum, AI-assisted summarisation and aggregation, and a public commitment that the human legislator would vote according to the platform-mediated collective decision. Yet this architecture was not structurally unprecedented: AI Steve had already paired a synthetic political persona with a human parliamentary candidate and a validator-controlled voting commitment. GAITANA's philosophical significance lies in its constituency structure. The formal electorate of Colombia's Special Indigenous Constituency is not ethnically closed, while the institution serves a protected Indigenous representational purpose; GAITANA then added a separately constituted digital participant body and a synthetic persona making broader Indigenous representative claims. Comparison with AI Steve and the Synthetic Chamber shows that synthetic political representation requires explicit analysis of constituency architecture. Electoral authorization, digital mandate production, and authorization of a synthetic representative claim are distinct relations. Where digitally mediated inputs acquire high political weight, democratic governance should require constituency provenance alongside model and procedural transparency.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24061049
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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preprint

GAITANA IA: Participation, Authority and Synthetic Political Representation

Israel Huerta Castillo
3 links
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

GAITANA IA: Participation, Authority and Synthetic Political Representation

Israel Huerta Castillo
preprint en

Abstract

Synthetic political actors are beginning to mediate the relation between citizens and representative institutions, but analyses often treat citizen participation as a single relation. GAITANA IA, a Colombian 2026 electoral initiative associated with human candidacies in the Special Indigenous Constituency, illustrates why that simplification is inadequate. The project combined an Indigenous-coded synthetic persona, a digital participant forum, AI-assisted summarisation and aggregation, and a public commitment that the human legislator would vote according to the platform-mediated collective decision. Yet this architecture was not structurally unprecedented: AI Steve had already paired a synthetic political persona with a human parliamentary candidate and a validator-controlled voting commitment. GAITANA's philosophical significance lies in its constituency structure. The formal electorate of Colombia's Special Indigenous Constituency is not ethnically closed, while the institution serves a protected Indigenous representational purpose; GAITANA then added a separately constituted digital participant body and a synthetic persona making broader Indigenous representative claims. Comparison with AI Steve and the Synthetic Chamber shows that synthetic political representation requires explicit analysis of constituency architecture. Electoral authorization, digital mandate production, and authorization of a synthetic representative claim are distinct relations. Where digitally mediated inputs acquire high political weight, democratic governance should require constituency provenance alongside model and procedural transparency.

Zenodo (CERN European Organization for Nuclear Research)
Universidade de Santiago de Compostela (ES)
Peace, justice, and strong institutions
Ethics and Social Impacts of AI
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