Artificial intelligence-generated podcasts open new doors to make science accessible: a mixed-method evaluation of quality and the potential for science communication.

Journal: European journal of cardiovascular nursing
Published Date: Jun 14, 2025

Abstract

AIMS: Science podcasts have proved to be valuable mediums for medical education and science dissemination. Tools adopting rapidly evolving technologies such as generative artificial intelligence (GenAI) now enable us to create podcasts in a matter of minutes (e.g. NotebookLM, Jellypod). However, GenAI entails challenges, such as hallucinations, which could compromise the trustworthiness of generated content. Therefore, this study aimed to explore the quality of AI-generated podcasts and their potential for science communication.

Authors

  • Chloé P Desmedt
    KU Leuven Department of Public Health and Primary Care, KU Leuven - University of Leuven, Kapucijnenvoer 7, PB7001, Leuven B-3000, Belgium.
  • Werner Budts
    Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
  • Maarten De Vos
    STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics-Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium. maarten.devos@kuleuven.be.
  • Philip Moons
    KU Leuven Department of Public Health and Primary Care, KU Leuven - University of Leuven, Kapucijnenvoer 35, Box 7001, 3000 Leuven, Belgium.

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