Journalism Schools Take Wildly Different Approaches to Teaching AI
University of Kansas researchers analyzed 60 journalism course syllabi from 15 schools and found no consensus on how students should use artificial intelligence. Some classes treat AI as academic dishonesty. Others permit it under strict conditions. Still others examine it as a subject worthy of ethical debate.
The inconsistency creates confusion. Students encounter conflicting rules from class to class, sometimes within the same institution, leaving them uncertain about what their professors expect.
Three Distinct Approaches Emerged
Writing classes tend to discourage AI use, viewing it as a threat to learning and professional standards. This reflects a core concern: students need to develop their own writing skills, a foundation of journalism work.
Design and photography classes more often permit AI as a tool, but with boundaries. Students might use it to check grammar or generate initial concepts, but not as a replacement for original work.
Media ethics and law classes typically treat AI as a subject for critical inquiry. Instructors assign readings and discussions about how the technology challenges journalism practice.
The Problem With Variation
While variety in teaching approaches is normal, the current scatter creates practical problems. Students don't know which rules apply where. Professors can't assume students understand the boundaries around AI use.
Alyssa Appelman, an associate professor at Kansas, said instructors must be explicit about expectations from day one. "Professors need to be very clear, because these findings suggest that semester to semester, or even class to class, students are getting different advice from different programs," she said.
The research also found that syllabi explicitly warning against AI use often cited plagiarism concerns. Courses permitting AI use typically noted the technology's tendency to generate false information and biased outputs.
What Comes Next
The authors recommend that accrediting bodies like the Association for Education in Journalism and Mass Communication develop guidance to help schools create consistent policies within their own programs.
Samuel Muzhingi, the doctoral student who led the research, emphasized that instructors have a responsibility to help students engage with AI critically, regardless of their personal concerns about the tool. "We may not be able to avoid it, but we can be intentional about how it is integrated, especially as employers are beginning to ask about these skills," he said.
Muzhingi and Appelman plan to study how students actually use AI tools when given clear guidelines versus when left without direction. Understanding this gap could inform how journalism programs structure their policies.
For educators, the takeaway is straightforward: clarity matters. Teachers navigating AI integration should establish explicit expectations early and often. Students need to know not just whether they can use AI, but why certain boundaries exist and how the technology fits into professional journalism practice.
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