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this post was submitted on 03 Aug 2026
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Technology
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That quote I strongly agree with, but I think you completely misunderstand what the professor means.
A huge problem in education right now is students using AI inappropriately, in many different ways. As an extension of the "digital literacy skills" education has been focusing on teaching in the last ~1-2 decades, educators are now teaching "AI literacy" skills, because students are using it wrong all the time. And it's unacceptable both academically and professionally.
AI literacy skills are mostly about teaching students how bad AI is, what it can't do, and why they should not rely on it. Like, understanding how an LLM works means that students will understand that they're just fancy word predicting machines, not "intelligent" in any way. Students who understand this are much less likely to trust LLM output.
AI literacy skills are not teaching students how to vibe code faster.
'AI literacy' in the context of 'don't use it to cheat' or 'it may fabricate information or attributions' should be an extension of institutional plagiarism and acceptable source policies; such policies can and should be discussed to ensure students understand them, including the implications of AI.
Framing it as being 'literate' in AI use, however, is a tacit encouragement (or at best acceptance) for such tools to be used.
If everyone had a degree of AI literacy we'd already be out of the AI bubble.