The rise of generative artificial intelligence (AI) tools such as ChatGPT is reshaping the landscape of higher education. For many educators, these tools raise legitimate concerns about plagiarism, authorship, and the erosion of academic honesty. Yet generative AI also presents an untapped opportunity: it can be leveraged as a powerful pedagogical tool for teaching research integrity. Rather than viewing AI solely as a threat, this presentation reframes it as a catalyst for innovation in helping students understand, internalise, and apply the principles of ethical scholarship.Drawing from classroom practice across STEAM disciplines, this session demonstrates strategies for using generative AI to illuminate core aspects of research integrity. For instance, students can critically evaluate AI-generated references, sometimes containing fabricated or incomplete citations, to deepen their understanding of source verification and responsible attribution. Comparing AI-produced summaries with peer-reviewed literature can underscore the importance of accuracy, transparency, and the peer-review process. Finally, guided exploration of how AI blurs traditional notions of authorship and originality can prompt dialogue on intellectual ownership, collaboration, and the evolving role of technology in scholarly work.
Obasi et al. (Fri,) studied this question.
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