Tag: AI
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Metaphors for AI: An overview of recent studies
In my previous post (part 1 of a trilogy) I called for an AI metaphor observatory to watch how people make sense (and sometimes nonsense) of generative artificial intelligence, or GenAI, through metaphors. I was pleased to see that many scholars are now collecting AI metaphors and studying them systematically and I provided a rough…
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Making the case for an AI metaphor observatory
Between 2023 and 2025 I have written various posts on GenAI, Large Language Models and metaphors: one where I went out hunting for metaphors; one where I had a chat with ChatGTP about metaphors for itself, metaphors that turned out to be rather magical; one focusing on food or culinary metaphors for AI; some dealing…
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Enshittification: A word for our times
On 9 October Jack Stilgoe posted a question on Bluesky: “Has Cory Doctorow done a piece on the enshittification of enshittification yet?” Ken Tindall replied: “The word enshittification has turned to shit but not through a process of enshittification.” This made me think. Is it true? Is there evidence for this? So, I started to…
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Participation at the core: AI, ELSI and community engagement
Alondra Nelson, a sociologist, STS scholar and expert on AI policy and ethics, recently published a letter in Science proposing that artificial intelligence (AI) should adopt the Ethical, Legal, and Social Implications (ELSI) framework from genomics, an approach designed to put social concerns at the heart of technology governance. Nelson argues that meaningful community engagement…
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Understanding computational hermeneutics: Making meaning between the past and the present
A large group of scholars led by Cody Kommers and Drew Hemment at the Alan Turing Institute recently published a paper on ‘computational hermeneutics’. They mention Hans-Georg Gadamer and Wilhelm Dilthey, two godfathers of hermeneutics, and talk about situated meaning, ambiguity and the plurality of meaning. How intriguing, I thought. The paper brought back memories…
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AI winter and AI bubble: Historical and metaphorical reflections
I have followed the emergence of recent developments in AI from the end of 2022 onwards, marked by the launch of OpenAI‘s AI chatbot ChatGPT. It’s now the middle of 2025 and a LOT has happened in this space. From being a niche and nerdy topic, AI has become a topic discussed across society. Recently, I…
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Vibes: From new age to new algorithms
The other day I was talking with a friend and moaning about writer’s block. My friend said: “You are into words and metaphors and stuff. What’s one small language puzzle that’s been nagging at you lately?” I blurted out: ‘vibes’. My friend replied: “Write about that then”. Lots of people have written about that word…
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Public engagement with AI: Some obstacles and paradoxes
I recently listened to a webinar by social scientists who had studied what AI researchers say about public reception of AI. The most important words I heard were ‘evidence’ (about public attitudes to and inclusion in AI) and ‘voices’ (of communities underrepresented in or negatively impacted by AI). The main argument was, I think, that…
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When the world falls apart, enjoy a metaphor!
I have been writing blog posts since 2012. They dealt mainly with topics relating to climate change, the biosciences, infectious diseases, and more recently AI. Occasionally, I branched out into space or into the 19th century. That happened at times when the tectonic plates of politics shifted, such as after Brexit, the first Trump government,…
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Synthetic biology in the era of AI: From dominating nature to collaborating with it
Today’s post is a guest post by Christian Gude. He has a PhD in synthetic biology from the University of Nottingham (where we met when I was still doing synbio and RRI at the SBRC) and is now working at Phenotypeca Ltd as IP Analyst in a multidisciplinary role between science and intellectual property. In…