Preparing Media Students for their AI Future

When I was teaching at a journalism school some 15 years ago, many professors were wringing their hands about digital media. “Would print survive?” they wanted to know. The focus was on their past rather than the students’ future. By asking the wrong questions, they were leading themselves into irrelevance and their students unprepared.

Here we are again, only this time it is generative AI. Much of what’s called AI is mislabeled or overrated, but it doesn’t matter. Media students will need help understanding how to use it effectively and ethically. Employers will be expecting it from them. The students also need an idea as to where AI is inadequate—this will inform them as to which parts of the media process they will need to do themselves.

There is no way to do this without having a clear understanding of the goal: understanding what separates “great” writing/audio/video from “good” writing/audio/. They have always needed to be able to evaluate their own writing to get better. And now, they must be able to evaluate what the AI produces for them.

The advent of digital platforms changed the process and tools of journalism and media. The goal remained the same. Likewise, generative AI will impact the process but not the ultimate goal.

Stephen Goforth