AI in higher education risks eroding learning through systemic automation and knowledge commodification
Original framing: “The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself” — The Conversation - Global
The trickster here is the false promise of AI as a neutral tool, masking its role in reinforcing capitalist and colonial hierarchies of knowledge. By inverting the narrative—where cheating is framed as the lesser evil—it exposes how solemnity around academic integrity obscures the deeper erosion of learning.
AI's educational impact requires balancing technological integration with epistemological diversity. Historical patterns show education systems adapt to new tools (like the printing press) by redefining learning values.
Current solutions must address both digital divides and the philosophical purpose of education.