AI in Academia: How Corporate Capture and Neoliberal Logic Threaten Knowledge Sovereignty and Ecological Integrity
Original framing: “Universities in the Age of AI: Defending Human Agency and Our Living World” — bing news
Indigenous critiques of AI are systematically excluded from mainstream discussions, yet they offer vital frameworks for understanding its harms. For instance, the Māori *Kaitiakitanga* (guardianship) principle asserts that knowledge must be stewarded for future generations, directly opposing AI’s data extraction and commodification. Movements like the *Data Sovereignty Lab* in Canada and the *First Nations Principles of OCAP* (Ownership, Control, Access, Possession) provide concrete alternatives to corporate-controlled AI systems. The omission of these perspectives reinforces the colonial assumption that Western innovation is universally beneficial, ignoring how AI exacerbates land dispossession and cultural genocide.
The mainstream narrative of AI in universities as a neutral, progressive force obscures its role as a tool of neoliberal restructuring, corporate capture, and ecological exploitation.
By centering Indigenous data sovereignty, historical parallels of corporate academic capture, and marginalized voices like adjunct professors and Global South communities, we reveal AI as a continuation of colonial and extractive logics rather than a solution to societal crises. The trickster lens further exposes the absurdity of framing AI as a savior while universities deepen their complicity in fossil fuel funding and labor precarity. Solutions must prioritize decolonized governance models, ecological impact assessments, and the rebuilding of public universities as commons-based hubs—approaches that challenge the dominant techno-utopianism and restore agency to those most affected by AI’s rise.