Category: Podcast
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Teaching AI Ethics 2025: Bias
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,…
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How I use the AIAS: Part 1
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…
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Why Blog?
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…
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AI and the Death of Communication
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…
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Artificial Intelligence Has Changed The Way I Write Forever
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…
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The Myth of Inevitable AI
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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Teaching AI Ethics: Introduction
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.