Tania Blanco Sánchez, Daniel Martín Pena, Miguel Ángel Ortiz Sobrino: TRANSFORMATIVE IMPACT: THE EVOLUTION OF RADIO PROFESSIONAL PROFILES IN THE ERA OF ARTIFICIAL INTELLIGENCE

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Tania Blanco Sánchez, Daniel Martín Pena, Miguel Ángel Ortiz Sobrino: TRANSFORMATIVE IMPACT: THE EVOLUTION OF RADIO PROFESSIONAL PROFILES IN THE ERA OF ARTIFICIAL INTELLIGENCE

Review Paper

 

Tania Blanco Sánchez, University of Extremadura, Spain
Daniel Martín Pena, University of Extremadura, Spain
Miguel Ángel Ortiz Sobrino, Complutense University of Madrid, Spain

 

DOI: https://doi.org/10.59014/JRDC5405

Paper in PDF

 

Keywords:

AI Integration, artificial intelligence, professional profiles, radio, role

Abstract

The use of artificial intelligence (AI) in the realm of radio has experienced significant
growth, transforming the way radio content is produced, distributed, and consumed.
This shift presents challenges and opportunities for professionals in the field, who
must adapt to the convergence of human creativity and the innovative capabilities
of AI.
The main objective of this research is to comprehensively analyze existing literature
on artificial intelligence and professional profiles in radio. The aim is to identify
emerging patterns, trends, and perspectives that shed light on how AI has influenced
the definition of competencies and roles in this specific sector. The ultimate goal is
to provide a deep understanding of the changes that AI has introduced to the radio
workforce.
The methodology employed in this study is based on a content analysis of specialized
literature in artificial intelligence and radio. A thorough review of research, academic
articles, and relevant publications in specialized journals was conducted. Selection
criteria were applied to ensure the inclusion of relevant and recent studies specifically
addressing the interaction between AI and professional profiles in radio.
The results revealed substantial changes in radio professional profiles with the incorporation
of AI. Technological skills were highlighted as fundamental, with a growing
demand for knowledge in algorithms, data analysis, and the management of AI tools.
Additionally, a trend towards the redefinition of roles was observed, freeing professionals
from routine tasks to focus on creativity and innovation in radio production.

While the results indicated clear benefits, they also pointed out challenges, such as
the need to address ethical issues and ensure a smooth transition for workers into an
increasingly digitized environment.
This study concludes with the recognition of the need for ongoing adaptation in
radio professional profiles in response to the influence of artificial intelligence.

 

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