SynopsisThis post expands Leon Furze’s earlier “expertise problem” argument by introducing a three-dimensional model of expertise for working productively with generative AI. Drawing on Punya Mishra’s domain × technology matrix and adding insights from Dreyfus & Dreyfus, Lave & Wenger and James Paul Gee, Furze distinguishes domain expertise, technological expertise, and a newly foregrounded situated […]

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This first instalment in the Teaching AI Ethics 2025 series revisits the theme of bias in generative AI. It explains how data bias, model bias and human bias interact to produce skewed or discriminatory outputs in large-language and image-generation systems, illustrates those problems with up-to-date research and examples, critiques the limitations of current “guard-rail” fixes, and closes with practical ways teachers can embed critical discussions of AI bias across English, Mathematics, Civics, Visual Arts and other subjects.

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The opening article in Leon Furze’s new “How I Use the AI Assessment Scale” series demystifies what the AI Assessment Scale (AIAS) actually is—a conversation-starter and design lens for assessment—and, just as importantly, what it is not (an academic-integrity detector, a tech checklist, or a universal benchmark). Leon explains why the latest iteration drops colour-coding in favour of clearer descriptors, stresses the need for discipline-specific judgement alongside AI literacy, and offers a step-by-step preview of how he deploys the scale with teachers before any task is set. By clarifying scope, common misconceptions and practical workflow, Part 1 lays the groundwork for the hands-on demonstrations that will follow in the series.

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Leon Furze answers a reader’s simple question—“Why do you have a blog?”—by invoking nostalgia for the free-form GeoCities era to argue that writers need a “little plot of land” online that they truly own. Adopting the POSSE model, he shows how a single post can be syndicated to LinkedIn, Bluesky, Mastodon, Substack and Medium while the blog remains the canonical source. Furze warns that AI-driven search and “AI slop” content farms are eroding discovery and trust, yet insists that personal blogs still offer control over platform whims, spam filters and intrusive AI assistants. In a GenAI-saturated web, keeping a blog is both an act of digital self-reliance and a teaching tool for open, authentic communication.

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Leon Furze asks whether platforms and multimodal AIs are steering us toward the “death of communication,” moving from Metal Gear Solid 2’s dystopian monologue through Dead-Internet theory, DARPA’s LifeLog and Google’s “Selfish Ledger,” to Luciano Floridi’s idea of “distant writing.” He argues that while data-hungry algorithms and bot-filled timelines have eroded trust, authorship is not dying so much as shifting from execution to design across text, image, audio and video. Drawing on Molly White’s call for “a different web,” Kress and Van Leeuwen’s multimodal theory and Arendt’s stewardship ethics, Furze concludes that human intentionality—slow newsletters, long-form blogs, careful multimodal design—can still create authentic context, keeping communication alive despite AI’s encroachment.

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In this post, I run through the end-to-end workflow that now underpins almost all of my writing. I show how analogue note-taking (pocket notebooks, fountain pens) and spoken drafting (iPhone Voice Memos → Otter/Whisper transcription) feed into successive passes through Claude for clean-up, ChatGPT o3 for link-insertion and live research, and finally a quick HTML export for one-paste publishing in WordPress. Along the way I weigh the productivity gains against the environmental, ethical and creative trade-offs of large language models, explain why I now use image generators far less often, and argue that teachers must rethink “writing” as a multimodal practice rather than a solo keyboard activity.

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Technologies only look “inevitable” in hindsight. From electricity to the internet, their shape was steered by economic interests and historical contingencies—not destiny. The same applies to AI today: claims of its inevitability mainly serve corporate ubiquity strategies. Educators and citizens still have agency to question, constrain and reshape AI rather than accepting it as fate

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Leon explains why his Teaching AI Ethics series needs a 2025 overhaul, recaps the original nine issues, and invites readers to help deepen the conversation.

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