I am revisiting ideas from the past year on AI topics in Higher Education. The landscape for the tools changes quickly, but can universities and institutions of higher education keep up?
*Plagiarism doesn’t look like it used to.*
Copy-and-paste cheats were yesterday’s challenge. Today, AI can generate unique content on demand, no stolen words, no easy detection, yet the same core question remains: What does it mean to claim your own work?
The path forward:
* Move beyond detection. Policing tools alone are unreliable and undermine trust. Even the best ones are only playing "catch-up" to the tools used to generate content.
* Set clear boundaries. Faculty and students need consistent definitions of acceptable AI use. A solid AI policy of what is and what is not acceptable helps with any confusion or accidental plagiarism.
* Teach responsible use. Like calculators or spellcheck, AI must be framed as a tool for learning, not replacing it.
Academic integrity has always been about honesty and ownership. AI doesn’t erase those values, it demands we reinforce them in new ways.
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