AI Is Breaking Peer Review, Says Ethan Mollick

Wharton's Ethan Mollick argued that the combination of AI-generated paper floods and AI's ability to mimic complexity signals is making traditional peer review unsustainable.

The "inevitable doom of traditional peer review" is how @emollick characterized the collision of two trends: AI dramatically increasing the volume of submitted papers, and AI-generated text flipping the complexity signals that reviewers traditionally use to assess quality. When AI can produce papers that look sophisticated on the surface, the filtering mechanisms that scientific publishing relies on break down.

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