Inside AI Supply Chains
Can we create Indigenous-grounded alternatives?

“Anatomy of an AI System” by Kate Crawford & Vladan Joler (SHARE Lab / AI Now Institute, 2018)
Complicated. Energy. Money. These are the top three words that came to AbInt participants’ minds when thinking of AI Supply Chain Management. At Bard College, a team of faculty members (Dr. Suzanne Kite and Shefali V Mehta) and four students from the MBA in Sustainability Program want to change that.They are actively imagining and researching a future where AI Supply Chain Management is non-extractive, human-centred, and sustainable.
On August 21, 2025, Thania Bejarano, Elaina Zachos, Emerson Sarmiento, and Hanna Inman presented their initial research findings to members of the Abundant Intelligences community. The students delivered a comprehensive overview of AI supply chains, looking at the anatomy of AI supply and value chains. They shared three critical perspectives of current AI Supply chain systems: extraction and infrastructure; labor and manufacturing; and data, knowledge, and governance, and offered a series of alternatives that require more research. Their presentation was a culmination of this work and a reflection of the Bard MBA Program’s and Abundant Intelligence’s commitment to effectively integrating interdisciplinary approaches to learning. The hybrid gathering—held online and in-person at Concordia University —was a cross-disciplinary and cross-cultural exchange of ideas, anchored in the Abundant Intelligences’s commitment to student research in AI. “The purpose of us coming together today – it begins with a curiosity I have and a gap in my knowledge of what is going on in AI Supply Chain today.” Suzanne noted in the presentation’s opening. “Who is researching (it)? Where are the gaps in knowledge? How can Abundant Intelligences’ many researchers help us address that?” Indigenous-Grounded AI Supply Chains Drawing from her chapter in the “Indigenous Protocol and Artificial Intelligence Position Paper,” Dr. Suzanne Kite (aka “Kite”) (Oglála Lakȟóta) wanted to explore how we might form relationships with and protocols for AI Supply Chains. “To me, supply chain is a real investment in Indigenous consciousness (and) investment in material things in the world. Materiality is essential in creating and maintaining ethical relationships to the world and non-human beings in that world.” Director of Wíhaŋble S’a Pod for Indigenous AI, Kite’s Pod focuses on developing Indigenous protocols to guide the creation of AI technologies that draw on broadly Indigenous, and specifically Lakȟóta, ontologies. Through an approach grounded in Indigenous epistemologies, the Wiháŋble S’a Pod addresses the ethical, legal, and societal implications of AI.
Future Research of AI Supply Chains
The students ran one more interactive poll before closing the session. They asked participants to select three AI Supply Chain alternatives they were most interested in further researching. 2.Environmental & Ethical Risk AI Policy 3.Community Natural Resource Ownership Does this topic interest you? Would you like to contribute? Please reach out to abint-datastorytelling@concordia.ca. |
By:
Sabrina Smith
Date:
September 22, 2025
Location:
Montreal, Canada
Inside AI Supply Chains
By:
Sabrina Smith
Date:
September 22, 2025
Location:
Montreal, Canada
Can we create Indigenous-grounded alternatives?

“Anatomy of an AI System” by Kate Crawford & Vladan Joler (SHARE Lab / AI Now Institute, 2018)