Smart or Shallow? Postplagiarism, Trust, and the Future of Learning with GenAI

Abstract

This presentation examines the role of GenAI in the postplagiarism era, where the challenge is no longer whether AI should be used but how it shapes learning. Drawing on Eaton’s (2023) framework of postplagiarism, Krakauer’s distinction between complementary and competitive cognitive artifacts, and Mayer et al.’s (1995) model of trust, the talk explores student perspectives on AI use, the asymmetries of trust between students, educators, and employers, and the risks of over-reliance. The implications highlight a shift toward the responsible integration of AI, urging educators to design practices where AI complements human intelligence rather than competes with it.