In this episode of Conceptually Speaking, I explore the complex and contested terrain of AI literacy with Dr. Rachel Horst, a digital literacy and arts-based scholar whose framework for understanding entangled literacies offers a refreshing alternative to the polarized discourse surrounding artificial intelligence in education. Drawing from posthumanist theory and futures literacies scholarship, our conversation challenges both techno-optimistic and techno-pessimistic narratives while centering creativity, relationality, and critical inquiry in our approach to these emerging technologies.Key Concepts from the Episode:Entangled AI LiteracyMoving beyond skills-based definitions toward messy, relational understandings of literacyUnderstanding AI literacy as interconnected with ecological, data, knowledge-construction, epistemic, disciplinary, political, relational, creative, futures, and algorithmic dimensionsRecognizing how AI reveals existing entanglements rather than creating entirely new problemsEmbracing uncertainty and fluidity in defining what AI literacy meansCreative Disobedience and Posthumanist ApproachesUsing AI tools in playful, experimental, and "disobedient" ways that highlight glitches and limitationsDrawing on posthumanist theory to decenter human exceptionalism and explore relational ontologiesConnecting with indigenous cosmologies and other-than-human ways of knowingTeaching With, Against, and About AICreating space for diverse perspectives on AI rather than seeking consensusBalancing critique with curiosity and experimentationSupporting process-oriented, collaborative learning that uses AI to amplify rather than replace human creativityTrusting students' innate desire to create and make meaningTheory as PracticeMaking philosophical and theoretical frameworks accessible and playful for educatorsRecognizing that all teaching involves theory, whether we acknowledge it or notUsing AI tools to create rich digital artifacts for teaching and learningMoving beyond compliance-driven approaches to embrace complexity and emergenceThe conversation highlights how educators can move beyond binary thinking about AI to create learning environments that are both critically engaged and experimentally open. Rachel's work demonstrates how posthumanist theory can inform practical approaches to AI literacy that honor complexity while remaining grounded in the realities of teaching and learning.Rather than treating AI as either salvation or doom, this episode models an (admittedly fraught) third way: engaging with these tools as part of larger conversations about knowledge, creativity, relationality, and the future of education. The discussion emphasizes the importance of creating spaces where educators can explore their own AI literacy in "messy" ways while supporting students in developing critical and creative relationships with emerging technologies.Connect with Rachel's Work:LinkedIn (primary platform for sharing work)Substack (for arts-based integration of AI)UBC Master's in Educational Technology programEntangled AI Literacy Resource (created for educators)Support the show

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