Practising the living archive: people-centred AI practice for the Kochi-Muziris Biennale
Practising the living archive: people-centred AI practice for the Kochi-Muziris Biennale
This article examines AI as an artistic medium through people-centred, practice-based research with student practitioners at OP Jindal Global University, who developed speculative responses to the archives and context of the Kochi-Muziris Biennale. Through a seven-week collaborative programme led by the Electronic Life Research Studio, three groups created experimental prototypes responding to provocations around affective data, spatial mapping, and unofficial knowledge. Rather than implementing finished systems, participants used speculative prototyping to interrogate how authority, accessibility, and voice operate within cultural documentation. Drawing on participatory art practice and collaborative research, the article centres student practitioners’ reflections, positioning them as co-researchers whose making generates knowledge about AI's possibilities and limitations. Their work reveals approaches that are distributed rather than hierarchical, conversational rather than authoritative, and grounded in embodied experience. The first group explored capturing ephemeral encounters through alternative documentation; the second mapped connections between the Biennale and Kochi's broader histories; the third examined boundaries between official and unofficial knowledge through concept notes and translation. Together, these projects show how people-centred approaches to AI can foreground place, participation, and marginal voices, offering insights for cultural institutions seeking more democratic engagement and contributing to discourse on participatory practice and AI as artistic material.
451-481
D'souza, Ed
4f923815-daad-47ea-917a-ab871ae718c2
D'souza, Ed
4f923815-daad-47ea-917a-ab871ae718c2
D'souza, Ed
(2025)
Practising the living archive: people-centred AI practice for the Kochi-Muziris Biennale.
Journal of Visual Arts Practice, 24 (4), .
(doi:10.1080/14702029.2025.2580787).
Abstract
This article examines AI as an artistic medium through people-centred, practice-based research with student practitioners at OP Jindal Global University, who developed speculative responses to the archives and context of the Kochi-Muziris Biennale. Through a seven-week collaborative programme led by the Electronic Life Research Studio, three groups created experimental prototypes responding to provocations around affective data, spatial mapping, and unofficial knowledge. Rather than implementing finished systems, participants used speculative prototyping to interrogate how authority, accessibility, and voice operate within cultural documentation. Drawing on participatory art practice and collaborative research, the article centres student practitioners’ reflections, positioning them as co-researchers whose making generates knowledge about AI's possibilities and limitations. Their work reveals approaches that are distributed rather than hierarchical, conversational rather than authoritative, and grounded in embodied experience. The first group explored capturing ephemeral encounters through alternative documentation; the second mapped connections between the Biennale and Kochi's broader histories; the third examined boundaries between official and unofficial knowledge through concept notes and translation. Together, these projects show how people-centred approaches to AI can foreground place, participation, and marginal voices, offering insights for cultural institutions seeking more democratic engagement and contributing to discourse on participatory practice and AI as artistic material.
Text
Practising the living archive people-centred AI practice for the Kochi-Muziris Biennale
More information
Accepted/In Press date: 22 October 2025
e-pub ahead of print date: 10 November 2025
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© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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Local EPrints ID: 508461
URI: http://eprints.soton.ac.uk/id/eprint/508461
ISSN: 1470-2029
PURE UUID: f52ac222-5877-493d-a57c-b141d792c37f
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Date deposited: 22 Jan 2026 17:42
Last modified: 23 Jan 2026 02:39
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