Generative artificial intelligence (GAI) is increasingly entering qualitative health research, yet its role in dissemination remains underexamined. Because GAI can translate complex ideas into accessible summaries, simplify jargon, adapt explanations for different audiences, and support understanding through analogy, it offers possibilities for knowledge translation. We examine those possibilities through GAI-assisted podcasts for public-facing dissemination. Drawing on our testing of three podcasting platforms, with features ranging from automated scriptwriting to audio production, we identify key affordances and limitations for qualitative health researchers. Across these platforms, effective use depends on researchers’ critical engagement with the tools and the decisions they make about audience, voice, accuracy, and accountability. GAI may extend the speed and reach of public communication, while also raising concerns about bias, mistrust, and limited AI literacy. In this context, GAI works best as a partner in meaningful communication, with researchers remaining responsible for interpretation, judgment, and care.

 

On this page, you can access all three podcasts, and their subsequent transcripts. Enjoy!

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Access the full paper here: 

Jordan, L. S., Sauberer, P. G., & Wolgemuth, J. R. (2026). The sound of science: Exploring generative AI podcasts for qualitative health research translation. Qualitative Health Research, 36(2-3), 247-261.

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Each podcast was created to discuss a recent article: Waka on the Shore. You can access the accepted version here.