Tag: artificial intelligence
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With great power comes great ambiguity – ENPHE conference
I was invited to give a keynote address at the 2023 ENPHE conference, on the topic of AI in health professions education, I used the metaphor of the antihero to emphasise the complex ethical implications of this technology. By rejecting simplistic views of AI as solely beneficial or harmful, I advocate for nuanced human-machine partnerships.…
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Symposium – Artificial intelligence and health professions education
These notes are less about what was presented and more about my own thoughts that were sparked as I listened to the session. The panel members included: We need to make sure that we’re not holding up human intelligence as some kind of peak in the intelligence landscape. AI will exceed the computational ability of…
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Symposium – Beyond thinking fast and slow: Theories informing teaching and assessment of clinical decision-making and error
in Conferenceaffordance, ai, AMEE, AMEE23, artificial intelligence, bais, chunk, clinical reasoning, cognitive debiasing, collective intelligence, diagnosis, diagnostic error, distributed cognition, dual-process theory, ecological psychology, embodied cognition, error, extended mind, illness schema, illness script, information, philosophy of mind, reasoning, situated cognition, system 1, system 2, technology affordance, transtheoretical modelThis is going to be a long post, as it includes an expansion of the notes I took during this symposium. It’s hard to draw a bright line between the presentation content and my extended notes, so I think it’s fair to say that what’s presented below isn’t an accurate description of what was presented.…
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Surprised at how little we’re talking about AI in #meded
I’ve been surprised at how little we’re talking about AI at the conference. I know that I can get sucked into a bubble, where all of my attention is taken up by what’s coming through my feed. But, even taking this into consideration, I’d expected a lot more conversation around AI at AMEE. When it…
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Generative AI for researchers
Generative AI for researchers I’ve been collecting some bits and pieces on the use of generative AI for researchers, and thought I’d share a few resources that you may find useful. Blog posts about using AI for research AI tools for research (note that these are only the ones I’ve played around with a bit…there are…
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Blown away with Adobe Firefly
Earlier today I had a quick look at Adobe’s Firefly generative AI system, which is going to be embedded across many of their products. And I was blown away. You can get a sense of the ease with which you can tweak variables in this video. Generative fill is what Adobe is calling the feature…
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Generative AI in higher education: Paradigm shifts in assessment – Cape Peninsula University of Technology symposium
accountability, ai, artificial intelligence, assessment, assessment concerns, assessment design, assessment paradigm, assessment task, assessment validity, faculty development, higher education, large language model, learning inference, LLM, paradigm shift, pedagogy, standard assessment paradigm, universal anything machineIn this presentation at the Cape Peninsula University of Technology, I examines the impact of large language models (LLMs) on assessment practices in professional education. I critique the standard assessment paradigm and suggest that AI could reshape assessment methods. The presentation also briefly covers a faculty development framework and broader implications of AI in learning.
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Rejected AMEE abstract (Point of view) | Human replacement by artificial intelligence: An heretical point of view
See this brief post on my reasons for sharing rejections. I should note that my intention with this submission was to take an extreme position on a topic, to test our collective assumptions. I’m not convinced that the claim (i.e. health professions workers will be replaced by AI) is true. But I’m also not convinced…
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Rejected AMEE abstract (workshop) | ChatGPT and its implications for health professions education
See this brief post on my reasons for sharing rejections. Background The release of ChatGPT in November 2022 was accompanied by an explosion of interest in both mainstream and academic media. It has simultaneously been described as the saviour of higher education, and the beginning of the end. The fact is, it could be both.…
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Rejected AMEE abstract (oral presentation) | Is ‘being human’ enough? Preparing for clinical practice in the age of artificial intelligence
See this brief post on my reasons for sharing rejections. Introduction Identity is central to our understanding of the health professions, and much of professionaleducation revolves around this core value. The introduction of artificially intelligent tools (AI-based systems) into clinical practice has led to resistance in the face of perceived threats to clinician autonomy (Jussupow…
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Podcast | Lex Fridman interviews Sam Altman (OpenAI)
I really enjoyed this conversation between Lex Fridman and Sam Altman. Sam is the CEO of OpenAI, who developed the GPT large language model, and the ChatGPT interface. I thought that his responses were thoughtful and considered. The conversation veers toward the technical, but there’s enough at a high level for this to be useful…
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Policy recommendations for getting the best out of automation and AI in health care
Hardie T, Horton T, Willis M, Warburton W. (202). Switched on: How do we get the best out of automation and AI in health care? The Health Foundation. Initially I thought the recommendations in this report seemed self-evident. For example: However, policy recommendations that aim to guide decision-making in health care should be sensible, and…
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Conversation with Dave Nicholls on generative AI
A few weeks ago I had a conversation with Dave Nicholls for his Paradoxa substack, on the topic of large language models and other forms of generative AI. Dave and I wanted to talk about the implications of generative AI, and of ChatGPT in particular, on higher education and professional practice. In addition to our…
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Generative AI in higher education – HELTASA conference
This is a recording of a presentation I gave at the HELTASA conference, on the topic of generative AI in higher education. The focus of the talk was on ChatGPT but I tried to think about generative AI more broadly, including image generators like Midjourney and Stable Diffusion. I also tried to avoid making this…
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What if the endpoint for teachers is to serve AI?
The posts I read about AI in education tend to fall into two main categories: I don’t find either of these arguments compelling but will only respond to the second one in this post. We have a long history of incorrect assumptions that technology will free us from the mundane tasks that no-one wants to…
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Having a conversation with an article through natural language processing
Thanks to Ben Gordon for pointing me towards explainpaper. In How to read a book (1972), Mortimer Adler says that “Reading…should be a conversation between you and the author.” Which is why I don’t read without a figurative pen in my hand; As I’m reading I want to mark up the text with questions and…
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People-centred AI – Application
Sometime in 2021 I put together a short video describing my thinking around the relationship between human beings and the development of artificial intelligence. The video was part of an unsuccessful application but I thought it might still be interesting enough to share here. The video describes some of the ways in which I see…
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I was on the Man & Machine podcast last week
Last week I had a conversation with Ean Bett of the Man & Machine podcast, which we recorded and published. I had a great time talking to Ean about some of the progress we see taking place in clinical AI.