"A study of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities.
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"A study of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities. The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others.
Once physicians began using it, their performance dropped significantly whenever the system was unavailable. During the three-month period before the AI tool was introduced, the specialists found at least one adenoma during 28.4% of colonoscopies. During the three-month period after the tool was introduced, the adenoma detection rate for colonoscopies performed without AI assistance decreased to 22.4%.
Gastroenterology and Hepatology, suggest that even highly skilled professionals might get worse at tasks that their job requires as they become more dependent on AI tools, says Robert Wachter, a physician at the University of California, San Francisco, who is the author of a book on how AI tools are transforming health care. The study authors say that continuous exposure to such tools can cause clinicians to become “less motivated, less focused, and less responsible when making cognitive decisions without AI assistance”.
Co-author Yuichi Mori, a physician-researcher at the University of Oslo, says that more studies are needed to confirm the phenomenon. But people who use AI tools should be aware that they risk losing some of their skills, he adds. “There is no established solution against deskilling right now. It should be a very hot research topic in the next decade.”"
@remixtures oh no
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@OneInterestingFact @remixtures My understanding is that (if we accept that what we're dealing with qualifies as "intelligence", which I really only do to avoid derailing conversations away from their topics) LLMs are a specific application of the larger field of machine learning.
Unless I'm wrong there is relatively little to LLMs that is specific to them and not machine learning at large, but please correct me if I am.
I'm afraid I don't know whether your assessment is correct. I see many potential uses for machine learning, When I look at LLMs I see theft and waste of resources.
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"A study of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities. The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others.
Once physicians began using it, their performance dropped significantly whenever the system was unavailable. During the three-month period before the AI tool was introduced, the specialists found at least one adenoma during 28.4% of colonoscopies. During the three-month period after the tool was introduced, the adenoma detection rate for colonoscopies performed without AI assistance decreased to 22.4%.
Gastroenterology and Hepatology, suggest that even highly skilled professionals might get worse at tasks that their job requires as they become more dependent on AI tools, says Robert Wachter, a physician at the University of California, San Francisco, who is the author of a book on how AI tools are transforming health care. The study authors say that continuous exposure to such tools can cause clinicians to become “less motivated, less focused, and less responsible when making cognitive decisions without AI assistance”.
Co-author Yuichi Mori, a physician-researcher at the University of Oslo, says that more studies are needed to confirm the phenomenon. But people who use AI tools should be aware that they risk losing some of their skills, he adds. “There is no established solution against deskilling right now. It should be a very hot research topic in the next decade.”"
did anyone else bother to click thru and read the abstract of the gastroenterology paper ?
this doesn't look that convincing to me, cause the number of cases is to small
quote
Between Sept 8, 2021, and March 9, 2022, 1443 patients underwent non-AI assisted colonoscopy before (n=795) and after (n=648) the introduction of AI (median age 61 years [IQR 45–70], 847 [58·7%] female, 596 [41·3%] male). The ADR of standard colonoscopy decreased significantly from 28·4% (226 of 795) before to 22·4% (145 of 648) after exposure to AI,
Unquote
https://www.thelancet.com/journals/langas/article/PIIS2468-1253(25)00133-5/abstract -
@remixtures I've been a graphic designer my whole career, pretty much. It's long been observed, in fact my first boss told me on day *one*, that you need to stay "on the boards" and he regretted that he hadn't.
Skill fade is both real and much quicker than you think.
Friends:
did any of you actually bother to click thru and read the abstract of the endoscopy study ??
anyone ???
cause to my eyes, if you read the abstract in this pay walled article, despite the authors claim of statistical significance, the numbers are not convincing
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Friends:
did any of you actually bother to click thru and read the abstract of the endoscopy study ??
anyone ???
cause to my eyes, if you read the abstract in this pay walled article, despite the authors claim of statistical significance, the numbers are not convincing
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"A study of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities. The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others.
Once physicians began using it, their performance dropped significantly whenever the system was unavailable. During the three-month period before the AI tool was introduced, the specialists found at least one adenoma during 28.4% of colonoscopies. During the three-month period after the tool was introduced, the adenoma detection rate for colonoscopies performed without AI assistance decreased to 22.4%.
Gastroenterology and Hepatology, suggest that even highly skilled professionals might get worse at tasks that their job requires as they become more dependent on AI tools, says Robert Wachter, a physician at the University of California, San Francisco, who is the author of a book on how AI tools are transforming health care. The study authors say that continuous exposure to such tools can cause clinicians to become “less motivated, less focused, and less responsible when making cognitive decisions without AI assistance”.
Co-author Yuichi Mori, a physician-researcher at the University of Oslo, says that more studies are needed to confirm the phenomenon. But people who use AI tools should be aware that they risk losing some of their skills, he adds. “There is no established solution against deskilling right now. It should be a very hot research topic in the next decade.”"
@remixtures Well-made point, and in my view not overly surprising.
As an analyst I've always found that, once specialist tools find their way into the mainstream, everyone cheers. But only because it smells of "equality" and - to managers - of money saved.
But results quality drops markedly. Mostly because mainstream users rarely build mental estimates of results *before* the machine delivers them, and so believe each answer implicitly. Unlike the "expensive" trained specialists.
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"A study of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities. The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others.
Once physicians began using it, their performance dropped significantly whenever the system was unavailable. During the three-month period before the AI tool was introduced, the specialists found at least one adenoma during 28.4% of colonoscopies. During the three-month period after the tool was introduced, the adenoma detection rate for colonoscopies performed without AI assistance decreased to 22.4%.
Gastroenterology and Hepatology, suggest that even highly skilled professionals might get worse at tasks that their job requires as they become more dependent on AI tools, says Robert Wachter, a physician at the University of California, San Francisco, who is the author of a book on how AI tools are transforming health care. The study authors say that continuous exposure to such tools can cause clinicians to become “less motivated, less focused, and less responsible when making cognitive decisions without AI assistance”.
Co-author Yuichi Mori, a physician-researcher at the University of Oslo, says that more studies are needed to confirm the phenomenon. But people who use AI tools should be aware that they risk losing some of their skills, he adds. “There is no established solution against deskilling right now. It should be a very hot research topic in the next decade.”"
@remixtures
Nice. Is there any comparative KPI showing how effective human diagnosis is compared with AI-assisted diagnosis?
Because I am going to choose the most accurate method available, not the one that makes some anti-technology nostalgics feel morally comfortable.
I am not willing to increase my chances of getting cancer just to protect someone’s romantic fantasy about medicine being better when it involves fewer computers.
--
Uriel Fanelli
Using Aktor: https://git.keinpfusch.net/loweel/Aktor-2
XMPP: uriel@keinpfusch.net
old blog: https://blog.keinpfusch.net
new blog: https://keinpfusch.net -
Yeah but “more studies are needed to confirm the phenomenon”
@urlyman @remixtures yeah or some people need to think about what H0 should be should be here
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"A study of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities. The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others.
Once physicians began using it, their performance dropped significantly whenever the system was unavailable. During the three-month period before the AI tool was introduced, the specialists found at least one adenoma during 28.4% of colonoscopies. During the three-month period after the tool was introduced, the adenoma detection rate for colonoscopies performed without AI assistance decreased to 22.4%.
Gastroenterology and Hepatology, suggest that even highly skilled professionals might get worse at tasks that their job requires as they become more dependent on AI tools, says Robert Wachter, a physician at the University of California, San Francisco, who is the author of a book on how AI tools are transforming health care. The study authors say that continuous exposure to such tools can cause clinicians to become “less motivated, less focused, and less responsible when making cognitive decisions without AI assistance”.
Co-author Yuichi Mori, a physician-researcher at the University of Oslo, says that more studies are needed to confirm the phenomenon. But people who use AI tools should be aware that they risk losing some of their skills, he adds. “There is no established solution against deskilling right now. It should be a very hot research topic in the next decade.”"
@remixtures
Can a patient request no ai review their scans? I don't recall consenting to such activities but I don't know what the rules are for these things. -
"A study of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities. The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others.
Once physicians began using it, their performance dropped significantly whenever the system was unavailable. During the three-month period before the AI tool was introduced, the specialists found at least one adenoma during 28.4% of colonoscopies. During the three-month period after the tool was introduced, the adenoma detection rate for colonoscopies performed without AI assistance decreased to 22.4%.
Gastroenterology and Hepatology, suggest that even highly skilled professionals might get worse at tasks that their job requires as they become more dependent on AI tools, says Robert Wachter, a physician at the University of California, San Francisco, who is the author of a book on how AI tools are transforming health care. The study authors say that continuous exposure to such tools can cause clinicians to become “less motivated, less focused, and less responsible when making cognitive decisions without AI assistance”.
Co-author Yuichi Mori, a physician-researcher at the University of Oslo, says that more studies are needed to confirm the phenomenon. But people who use AI tools should be aware that they risk losing some of their skills, he adds. “There is no established solution against deskilling right now. It should be a very hot research topic in the next decade.”"
@remixtures
Pure logic to me! If I don't do special tasks in my sysadmin Job (e. g. because of automation), I'm might be in trouble if automation fails and have to do it manually after some months.
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So I'd expect similar outcome in case of AI ...
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@OneInterestingFact @remixtures My understanding is that (if we accept that what we're dealing with qualifies as "intelligence", which I really only do to avoid derailing conversations away from their topics) LLMs are a specific application of the larger field of machine learning.
Unless I'm wrong there is relatively little to LLMs that is specific to them and not machine learning at large, but please correct me if I am.
@renardboy @OneInterestingFact @remixtures I see the big divide as being between chatbots versus classifiers. There are other things that could reasonably be called AI given how people use the term, but chatbots and classifiers are the two things that are frequently discussed in general discourse, and purposefully conflated.
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@wronglang @remixtures thankfully programmers, politicians and CEOs aren’t susceptible to those, though. /s
@unkx @remixtures would anybody notice if a CEO got replaced by a machine that makes up shit people want to hear?
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"are Henry Ford's assembly lines de-skilling coach builders?"
same energy and despite my huge reservations about the current private ownership and direction of AI I'm feeling that lots of AI scepticism is missing the point. It's private ownership and capitalism that are the threats as usual, not technology.
@steviesyerda @remixtures I'm not sure I get your point here. Ford didn't deskill coach builders, he didn't hire coach builders, and cars forced coach builders out of business, but didn't degrade their skills.
Did the assembly line degrade overall skills for car builders? Maybe there is something there, but I would argue that skill *increased* for the step that people were completing on the line, and that's definitely not happening for vibe-coders
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@steviesyerda @remixtures I'm not sure I get your point here. Ford didn't deskill coach builders, he didn't hire coach builders, and cars forced coach builders out of business, but didn't degrade their skills.
Did the assembly line degrade overall skills for car builders? Maybe there is something there, but I would argue that skill *increased* for the step that people were completing on the line, and that's definitely not happening for vibe-coders
the whole point of Fordism was to gain control of skilled labour, de-skill it onto an assembly line and thus gain control over the intensity and outputs from production. What was lost were the artisan trade skills. My comment was reflecting a similar change in the article and study. Professionals being de-skilled, potentially higher productivity using technology, but possibly a loss of quality replaced by a gain of quantity in assessments.
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Essentially, when "someone else does it", the specialists became "managers of the someone else that does it". It would be exactly the same if the entity they were managing was a human.
In coding too, people going into management famously have their leet skillz (should they have had any) turn to crap, since they are guiding how it is done by other now, not working at the coalface.
Since it's no longer used, the skill starts to degrade. It's normal and making space for new skills that are useful.
It's a mistake to get hung up on skills that were useful for a while and aren't any more. Sitting in front of a PC all day doing things machines now do better is not some sad loss, it's good news.
@hopeless @remixtures that would be true if the machines actually did it better.
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the whole point of Fordism was to gain control of skilled labour, de-skill it onto an assembly line and thus gain control over the intensity and outputs from production. What was lost were the artisan trade skills. My comment was reflecting a similar change in the article and study. Professionals being de-skilled, potentially higher productivity using technology, but possibly a loss of quality replaced by a gain of quantity in assessments.
@steviesyerda @remixtures I mean, I think I get that, but for medical diagnosis, it's bad to reduce quality, and if you increase quantity, that multiplies the bad effect of the loss in quality.
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@remixtures No one will have the skills to conduct research on unskilling in a decade.
@BLTpizza @remixtures According to recent discussions that I had about AI, _only_ the unskilled can do research on unskilling (and you have to be drunk three days a week to talk about alcoholism)
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@steviesyerda @remixtures I mean, I think I get that, but for medical diagnosis, it's bad to reduce quality, and if you increase quantity, that multiplies the bad effect of the loss in quality.
@mu @remixtures I agree but then call centres are way less effective than face to face but that doesn't stop health providers using them to churn through as many people as possible. We should be realistic about the forces driving AI adoption, they're the same ones as drove Fordism.
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Friends:
did any of you actually bother to click thru and read the abstract of the endoscopy study ??
anyone ???
cause to my eyes, if you read the abstract in this pay walled article, despite the authors claim of statistical significance, the numbers are not convincing
@failedLyndonLaRouchite @remixtures @aptitude @dasgrueneblatt @steviesyerda @mkljczk 52 sounds about a few large hospitals worth of doctors, which sounds like it's basically the whole of polish endoscopic community or at least a big chunk of it. 37 million people don't need much endoscopy.
https://en.wikipedia.org/wiki/Demographics_of_Poland
Github repo of transcripts:
https://github.com/safety-research/how-ai-impacts-skill-formation
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@mu @remixtures I agree but then call centres are way less effective than face to face but that doesn't stop health providers using them to churn through as many people as possible. We should be realistic about the forces driving AI adoption, they're the same ones as drove Fordism.
@steviesyerda @remixtures I think the forces that are driving AI adoption are generally grifting + advertising.
