Tag: algorithms
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Weekly digest (05-11 Jun 2023)
AI bias and block boxes I’m getting tired of reading about bias and the black box nature of AI (even though I’ve been guilty of this myself). Human brains are biased. Human brains are block boxes. We still trust the outputs of human brains. I’m not suggesting that we just start trusting algorithms. But I…
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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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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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Seeing beyond our own paradigms
Yesterday I saw this tweet from Enrico Coiera: So I downloaded the editorial and noted these sections: Through the Internet, the public has access to a growing supply of information on health and disease, often of variable quality and relevance. As a result, providing information on health will no longer be the exclusive remit of…
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UCT seminar: Shaping our algorithms
Tomorrow I’ll be presenting a short seminar at the University of Cape Town on a book chapter that was published earlier this year, called Shaping our algorithms before they shape us. Here are the slides I’ll be using, which I think are a useful summary of the chapter itself.
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Book chapter published: Shaping our algorithms before they shape us
I’ve just had a chapter published in an edited collection entitled: Artificial Intelligence and Inclusive Education: Speculative Futures and Emerging Practices. The book is edited by Jeremy Knox, Yuchen Wang and Michael Gallagher and is available here. Here’s the citation: Rowe M. (2019) Shaping Our Algorithms Before They Shape Us. In: Knox J., Wang Y.,…
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a16z Podcast: Revenge of the Algorithms (Over Data)… Go! No?
in AIAn interesting (and sane) conversation about the defeat of AlphaGo by AlphaGo Zero. It almost completely avoids the science-fiction-y media coverage that tends to emphasise the potential for artificial general intelligence and instead focuses on the following key points: Go is a stupendously difficult board game for computers to play but it’s a game in…
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Another Terrible Idea from Turnitin | Just Visiting
Allowing the proliferation of algorithmic surveillance as a substitution for human engagement and judgment helps pave the road to an ugly future where students spend more time interacting algorithms than instructors or each other. This is not a sound way to help writers develop robust and flexible writing practices. Source: Another Terrible Idea from Turnitin…
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The Future of Artificial Intelligence Depends on Trust
To open up the AI black box and facilitate trust, companies must develop AI systems that perform reliably — that is, make correct decisions — time after time. The machine-learning models on which the systems are based must also be transparent, explainable, and able to achieve repeatable results. Source: Rao, A. & Cameron, E. (2018).…
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Defensive Diagnostics: the legal implications of AI in radiology
Doctors are human. And humans make mistakes. And while scientific advancements have dramatically improved our ability to detect and treat illness, they have also engendered a perception of precision, exactness and infallibility. When patient expectations collide with human error, malpractice lawsuits are born. And it’s a very expensive problem. Source: Defensive Diagnostics: the legal implications…
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Algorithms are not robots
in AIWe should stop using images of humanoid robots to represent an embodied form of artificial intelligence, especially when the AI being referenced is an algorithm, which in almost all cases in the mainstream media, it is. It’s confusing for readers because we’re nowhere near the kind of general intelligence that these pictures imply. For the…
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A.I. Versus M.D. What happens when diagnosis is automated?
The word “diagnosis,” he reminded me, comes from the Greek for “knowing apart.” Machine-learning algorithms will only become better at such knowing apart—at partitioning, at distinguishing moles from melanomas. But knowing, in all its dimensions, transcends those task-focussed algorithms. In the realm of medicine, perhaps the ultimate rewards come from knowing together. Source: A.I. Versus…
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An introduction to artificial intelligence in clinical practice and education
Two weeks ago I presented some of my thoughts on the implications of AI and machine learning in clinical practice and health professions education at the 2018 SAAHE conference. Here are the slides I used (20 slides for 20 seconds each) with a very brief description of each slide. This presentation is based on a…
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Physiotherapy in 2050: Ethical and clinical implications
This post describes a project that I began earlier this week with my 3rd year undergraduate students as part of their Professional Ethics module. The project represents a convergence of a few ideas that have been bouncing around in my head for a couple of years and are now coming together as a result of…