The university training of journalists in the context of Artificial Intelligence: a systematic review

Abstract

Artificial Intelligence (AI) is gaining ground in the communications industry, taking over tasks traditionally performed by journalists. However, the application of information technology tools requires specific competencies. The aim of this study is to analyze the training approaches for journalism in higher education institutions concerning the development of skills related to Artificial Intelligence and automated journalism. A systematic review of 107 scientific articles was conducted. Among the findings, it was noted that universities do not specifically and deeply address content related to AI, and educators reported lacking the competencies to teach courses related to the application of AI in journalism, knowledge that is already demanded in the job market. It is concluded that there are significant deficiencies in university training in AI for journalists, highlighting the need to update study programs and incorporate interdisciplinary approaches. It is suggested to train educators and promote collaboration with technology experts to prepare future journalists for the ethical and critical use of automated tools.