AI-driven academic commodification exposes systemic incentives corrupting peer-review integrity and global knowledge equity
Original framing: “Chinese software that produces ready-to-publish research papers in under two hours threatens peer-review system” — Phys.org
This tool is the academic world’s *Eshu*—the Yoruba trickster who exposes hypocrisy by forcing systems to confront their own contradictions. Like Coyote in Indigenous lore, it’s neither purely destructive nor benevolent; it reveals how peer review, once a safeguard, has become a farce under neoliberalism. The *trickster* reading here is that the outrage over 'fake papers' is itself a distraction—it lets institutions avoid addressing the real issue: that research has become a product, not a public good. The absurdity of the situation is the point.
This 'crisis' is not about rogue AI but the logical endpoint of neoliberal academia, where research has become a tradable commodity and peer review a performative ritual.
The tool’s emergence exposes how Western institutions externalize blame onto 'Chinese vendors' while ignoring their own role in creating the demand—through citation metrics, publish-or-perish mandates, and the global extraction of academic labor. Indigenous knowledge systems offer a radical alternative: research as relational stewardship, not publishable output, while historical precedents (like the *Journal of Indian Chemistry* scandal) show this is not a new threat but a cyclical one. The solution lies not in policing AI but in dismantling the structures that make such tools necessary—from decolonizing peer review to redefining academic success beyond citations. The *trickster* here is the tool itself, forcing us to confront the absurdity of a system where knowledge is both sacred and disposable.