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Cited by 3Ethics and Social Impacts of AIICT in Developing CommunitiesSmart Cities and Technologies

Rooted in the Collective: A Culturally Situated Artificial Intelligence (AI) Education Workshop For Urban Farmers

Moudgalya, Sukanya Kannan, Palileo, Carmen, Patil, Srinayana, Linder, Rhema, Swaminathan, Sai·2025·Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1
DOI 10.1145/3641554.3701898
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Abstract

This paper describes our experiences related to a culturally situated Artificial Intelligence (AI) education workshop for urban farmers. The farmers explored the concept of AI and its implications in the context of their own farm. They engaged in hands-on activities, including using traditional sensemaking practices in conjunction with sensor technology to collect contextual data. They then used a tangible educational tool: a corkboard with push pins and images to build tactile AI models based on their farm data. Throughout this process, they discussed their hopes and desires regarding AI in farming, and their concerns about AI technologies. The perspectives of the urban farmers reveal their preference for AI systems that are contextual, integrate community values, Indigenous knowledge, and environmental concerns, and are rooted in community ownership of data. Our report provides a starting point for conducting future workshops that involve 'critical participatory design' of AI technologies to promote AI literacies rooted in the community.

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Crossref · 10.1145/3641554.3701898

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27 of 27 references verified0 citation errors · 0 not checkable

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  • Participants in the Rooted in the Collective project raised concerns over cost, access, and the risk of 'data apartheid' under corporate agricultural data regimes, illustrating how participatory learning can deepen critical awareness without enabling infrastructural sovereignty.

    “Participants raised concerns over cost, access, and the risk of 'data apartheid' under corporate agricultural data regimes, illustrating how participatory learning can deepen critical awareness without enabling infrastructural sovereignty (Moudgalya et al., 2025: 795).”

    From Towards a decolonial AI sovereignty model for indigenous educational settings (2026) · cites this paper as Moudgalya et al., 2025

  • Urban farmer workshops cultivated AI literacy through speculative exercises, yet participants emphasised enduring risks of 'data apartheid'.

    “Urban farmer workshops cultivated AI literacy through speculative exercises, yet participants emphasised enduring risks of 'data apartheid' (Moudgalya et al., 2025).”

    From Towards a decolonial AI sovereignty model for indigenous educational settings (2026) · cites this paper as Moudgalya et al., 2025

  • In the Rooted in the Collective project, the AI systems discussed were hypothetical; generative AI appeared only as a speculative future for environmental monitoring and cultural storytelling.

    “While the design encouraged community ownership of data collection and critique of automation, the AI systems discussed were hypothetical; generative AI appeared only as a speculative future for environmental monitoring and cultural storytelling, given its capacity to synthesise diverse data sources (Moudgalya et al., 2025).”

    From Towards a decolonial AI sovereignty model for indigenous educational settings (2026) · cites this paper as Moudgalya et al., 2025

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Authors
Moudgalya, S. K., Palileo, C., Patil, S., Linder, R., & Swaminathan, S.
Affiliations
University of Tennessee at Knoxville (US)
ORCID
Venue
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1
Publisher
ACM
Published
2025-02-12
Pages
791-797
DOI
10.1145/3641554.3701898
OpenAlex
W4407681498
Cited by
3
References
27
Citations by year
2026: 2 · 2025: 1
FWCI
3.05
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
ACM Technical Symposium on Computer Science Education (SIGCSE) (publishedVersion)
Funders
University of Tennessee, Knoxville
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
Keywords
artificial intelligence in education, urban farmers, tangible user interfaces, sensemaking, sensor data acquisition, indigenous knowledge, AI literacy, community values

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