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

Date Issued
February 1, 2025
Author(s)
Moudgalya, Sukanya Kannan
Palileo, Carmen
Patil, Srinayana
Linder, Rhema
Swaminathan, Sai
DOI
https://doi.org/10.1145/3641554.3701898
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/51682
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.

Subjects

Informal AI Education...

Community-Centered AI...

Ethical AI

Disciplines
Agriculture
Artificial Intelligence and Robotics
Computer Sciences
Education
Recommended Citation
Sukanya Kannan Moudgalya, Carmen Palileo, Srinayana Patil, Rhema Linder, and Sai Swaminathan. 2025. Rooted in the Collective: A Culturally Situated Artificial Intelligence (AI) EducationWorkshop For Urban Farmers. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE TS 2025), February 26-March 1, 2025, Pittsburgh, PA, USA. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3641554.3701898
Submission Type
Publisher's Version
File(s)
Thumbnail Image
Name

3641554.3701898.pdf

Size

6.61 MB

Format

Adobe PDF

Checksum (MD5)

868948fb2047ac3be82a1a399dc07b57

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