competencia en inteligencia artificial: un análisis de su impacto en las salas de redacción periodística

Abstract

This research analyzes the impact of Artificial Intelligence (AI) on journalistic newsrooms, exploring its adoption level, journalists' competencies, and the ethical challenges and difficulties in its adoption. In terms of methodology, this study adopts a quantitative approach based on surveys conducted with 128 journalists from the province of El Oro, structured using Likert-type scales and multiple-choice questions, in which the level of familiarity and use of AI in news production was evaluated, identifying the main barriers and facilitators in its implementation. The results indicate that most journalists have an intermediate or low level of knowledge about AI. The lack of training, resistance to change, and costs were identified as the main barriers to adoption. The results of this study aim to recommend the implementation of specialized training programs for journalists, focusing not only on technical skills but also on the ethical aspects related to the use of AI in journalism. Furthermore, it is suggested that organizational policies be created to promote an ethical and strategic use of AI, ensuring that technologies do not replace journalists' daily work, but complement it. In this way, AI could become an ally in creating more efficient, accurate, and relevant content, without compromising the fundamental principles of journalism.