From a computer vision application to monitor elections transparency in Argentina to automated real-state texts in Norway, and everything in between, Artificial Intelligence-powered tools are changing journalism. Scholars have taken note, and the academic production of AI in journalism has gained considerable ground in the last five years.
However, research on how journalism education deals with AI influence in the industry is scarce. Based on a self-training method using available online free courses for journalists and a review of university teaching initiatives, this article proposes key elements to trace teaching trajectories to introduce AI into journalism curriculum. Included are recommendations for drawing a path to teaching journalism students to think critically about AI and, at the same time, to understand the available tools for reporting and investigating in a complex context where journalism lives in a profound state of crisis.
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Facts and Frictions is published by J-Schools Canada/Écoles-J Canada, Canada’s national association for post-secondary journalism research and education. All content is open access and available via J-Source.