Schools and journals struggle with AI use in academic writing

In short: More students and researchers are using AI to write, and teachers and journals are warning that it can clash with the basic rules of academic work.

What's going on

Readers, professors, and editors are pointing to growing problems when AI tools are used for academic and scientific writing. One major worry is plagiarism, which means using someone else’s work without credit. AI can produce sentences that closely match existing text because it learns from large collections of writing and then remixes patterns (like a super fast autocomplete).

Journals are responding by using detection tools to flag AI-written or copied passages. But these tools can make mistakes, including false positives, where original writing is wrongly flagged. Some guidance suggests reducing risk by rewriting in your own words and citing sources clearly.

Another concern is skill erosion. Teachers say that heavy reliance on AI can weaken a student’s ability to think through an argument and explain it in their own voice. In science, critics worry this could lower the quality of debate and make it harder for early-career researchers to develop.

There are also ethical and legal questions. AI text can include biased assumptions, or repeat protected material in ways that create copyright problems. And authorship rules are still unclear in many places, including whether AI should be credited, or whether credit must stay with humans who take responsibility for the work.

What to watch

Colleges have tried bans, in-person writing, and draft checkpoints, but many are now moving toward limited use with oversight, especially for non-native English speakers. Expect more detailed school rules, stronger journal policies, and continued arguments about what “original” work should mean when AI is always available.

Source: NYTimes