Creating podcasts with generative artificial intelligence, storing them on Web3, and sharing them open access

Abstract

Podcasts are a useful educational resource for improving student success, yet traditional methods of podcasting remain inefficient, vulnerable to censorship and deletion, and access-restricted. One approach to addressing these constraints is utilitarian digital pedagogy, which focuses on the use of digital tools to advance education for the greater good. Framed as such, this article outlines the conceptual and theoretical issues underlying how generative artificial intelligence (genAI), Web3, and open access (OA) improve podcasting’s utility relative to the alternatives: manual creation, Web2, and closed access. The article derives practical implications for instructors, institutions, and policymakers, and concludes by looking ahead to the major problems—hallucination, technical complexity, and rights management—to overcome in practice.