Tag: machine learning
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Podcast: Ian Morris on whether deep history says we’re heading for an intelligence explosion
https://80000hours.org/podcast/episodes/ian-morris-deep-history-intelligence-explosion/ Host Rob Wiblin speaks with repeat guest Ian Morris about what big-picture history says about the likely impact of machine intelligence. They cover:
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Podcast: Tom Davidson on How Quickly AI Could Automate the Economy
https://futureoflife.org/podcast/tom-davidson-on-how-quickly-ai-could-automate-the-economy/ Great conversation with Tom Davidson, with a lot of overlap with Holden Karnofsky’s Most Important Century series. Timestamps 00:00 The current pace of AI03:58 Near-term risks from AI09:34 Historical analogies to AI13:58 AI benchmarks VS economic impact18:30 AI takeoff speed and bottlenecks31:09 Tom’s model of AI takeoff speed36:21 How AI could automate AI research41:49…
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Podcast: The trouble with AI
https://samharris.org/episode/SE5DD11091B Sam Harris speaks with Stuart Russell and Gary Marcus about recent developments in artificial intelligence and the long-term risks of producing artificial general intelligence (AGI). They discuss the limitations of Deep Learning, the surprising power of narrow AI, ChatGPT, a possible misinformation apocalypse, the problem of instantiating human values, the business model of the…
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Weekly digest (24-30 Jul 2023)
A collection of resources and courses to learn about AI. Elements of AI Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with…
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AI illustrations
“Entrants were asked to produce a simple, striking image that touched on the question of whether advances in machine learning mean the world is heading for a utopian future, or a dystopian one.” https://www.dezeen.com/2023/06/22/ten-ai-illustrations-shortlisted-in-dezeens-aitopia-competition/ Update: The day after I saw this post, I came across a critique of the project, which I’m posting here in…
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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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Bring on the algorithmic scrutiny of academic work
I’m reviewing a grant application and it’s been… hard. I feel reasonably confident that I can quickly get my head around a research project but sometimes the writing is so poor that I have to read some passages 5 times before (I think) I understand what’s going on. So I was delighted to find explainjargon.com,…
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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.
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Weekly digest (02-06 Jul 2021)
The Artificial Inventor Project. A federal court in Australia has ruled in our favor and ordered our patent application for an AI-generated invention reinstated by IP Australia. Abbot, R. (2021). A Federal Court in Australia has Held AI-Generated Inventions are Patentable. The Artificial Inventor Project. And also… Today, the Artificial Inventor Project successfully obtained the…
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On the poor performance of AI models during the pandemic
Heaven, W.D. (2021). Hundreds of AI tools have been built to catch covid. None of them helped. MIT Technology Review. In the end, many hundreds of predictive tools were developed. None of them made a real difference, and some were potentially harmful. That’s the damning conclusion of multiple studies published in the last few months.…
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AI is already an important part of clinical practice. Just not in the way that you think.
We’re all using AI all the time. We just don’t always recognise it. There’s a lot of discussion around the introduction of AI-based systems into clinical practice and healthcare systems. But these discussions tend to focus on the systems that are being designed, developed, and deployed as part of formal processes centred on ‘big ideas’…
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Weekly digest (14-18 Jun 2021)
This digest has an AI and machine learning focus because I’m preparing a presentation for the SAAHE conference next week, and my topic is Clinicians’ perceptions of the introduction of AI into clinical practice. It’s from an international survey I completed in 2019, mostly forgot about in 2020 (because, Covid) and am finally trying to…
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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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Comment: Artificial intelligence yields new antibiotic.
The researchers tested it against dozens of bacterial strains isolated from patients and grown in lab dishes, and found that it was able to kill many that are resistant to treatment, including Clostridium difficile, Acinetobacter baumannii, and Mycobacterium tuberculosis. Trafton, A. (2020). Artificial intelligence yields new antibiotic. Big Think. Something that stood out for me…
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Podcast: Clinicians’ ‘Number-One Wish’ for Artificial Intelligence
…we installed cheap depth sensors that can collect human behavior data on patients and clinicians without infringing on their privacy, because these are not photo grabs of people’s faces and identities. With that information, we can observe longitudinally, 24/7, whether proper care is being given to our patients and provide feedback in the health delivery…
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Comment: Is Big Data Taking Us Closer to the Deeper Questions in AI?
Even though there’s a lot of hype about AI and a lot of money being invested in AI, I feel like the field is headed in the wrong direction. There’s been a local maximum where there’s a lot of low-hanging fruit right now in a particular direction, which is mainly deep learning and big data.…
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Why I think that AI-based grading in education is inevitable.
A few days ago I commented on an article that discusses the introduction of AI into education and why teachers shouldn’t worry about it. I also said that AI for grading was inevitable because it would be cheaper, and more reliable, fair and valid than human beings. I got some pushback from Ben on Twitter…
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Comment: Microsoft has created a tool to find pedophiles in online chats
On the basis of words and patterns of speech, the system assigns a rating for the likelihood that one of the participants is trying to groom the other. Companies implementing the technique can set a score (for example, 8 out of 10) above which any flagged conversations are sent to a human moderator to review.…