Josh Thorud

I recommend this LibGuide that I created because it offers a comprehensive overview of non-textual AI media, including types, tools, and current challenges. It's a quick resource for instructors who want to dive into the possibilities and pitfalls of AI-generated media in their classrooms.

Josh Thorud

I like this nonprofit because it provides many tools to educators and students for free, like RumorGuard, Checkology, their 'Is that a fact?' podcast, interactive learning modules, up-to-date fact-checked media, and strategies for classroom instruction. This hub pulls its AI resources into one place and treats the whole synthetic-media landscape, not just deepfakes.

Josh Thorud

I recommend this book as a scholarly anchor for the collection because it examines generative AI as a media and society issue, not only as a toolset. It is useful for instructors who want a broader framework for discussing creativity, authorship, authenticity, socio-technical change, ethics, and governance. Because the book is more conceptual than classroom-ready, I would pair it with the applied teaching resources in this collection.

Josh Thorud

I recommend this module because it gives students a vivid case study for analyzing synthetic media rather than treating deepfakes only as a technical threat. Built around "In Event of Moon Disaster," it supports conversations about misinformation, documentary practice, public memory, satire, trust, and the civic possibilities of synthetic media. The module wraps the Nixon deepfake video in a full educator suite—syllabus, bibliography, and design prompts—you can adapt directly, and it pushes past simple detection toward richer questions of trust and public memory.

Josh Thorud

I recommend this as the collection's ethics backbone. Rather than asking only "is this fake?", it gives instructors and students a shared vocabulary for the harder questions—consent, disclosure, attribution, and platform responsibility—that shape how synthetic media should be made and shared. It's a living document PAI reviews yearly, backed by major creators and platforms, which keeps it grounded in real practice.

Josh Thorud

I recommend this because it tackles an angle most media-literacy resources miss: not just detecting fakes, but reading critically how journalism itself describes AI. It was built with NAMLE and the AI Education Project, it's CC-BY licensed so you can adapt it freely, and it arrives classroom-ready with slides, conversation starters, assessment guidelines, and a vocabulary guide.

Josh Thorud

I recommend this resource because provenance is becoming central to AI media literacy. Rather than asking students only to detect whether something is “real” or “fake,” these materials help them consider how metadata, attribution, labeling, and Content Credentials can provide context about how media was created or altered.