Abstract
The paper assessed evaluation of the use of Artificial Intelligence in broadcast productions and assessment of radio broadcasters’ knowledge. Technology Determinism Theory was used as the theoretical basis for this study while survey research method was adopted using structured close-ended questionnaires to collect data from a census population of 30 broadcasters focusing on selected stations in Delta State—Crown FM, Effurun; Trend FM, Asaba; and Hot FM, Asaba. Data were analyzed using frequency tables and simple percentage calculations. Findings arising from this study revealed that a significant number of radio broadcasters lacked in-depth understanding of AI, with many never having received any workshops on the subject. The study also found that the use of AI in broadcasting was infrequent, with most respondents reporting minimal integration of AI tools in their daily workflow. AI use was primarily limited to news scripting and voice automation. Key challenges identified included lack of training, high cost of AI tools, technical complexity, and fear of job displacement. Based on the findings, the study recommends that radio stations provide regular training on AI and invest in accessible AI tools to improve production efficiency and professional capacity among radio broadcasters.
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