Chatbots provided incorrect, conflicting medical advice, researchers found: “Despite all the hype, AI just isn’t ready to take on the role of the physician.”
“In an extreme case, two users sent very similar messages describing symptoms of a subarachnoid hemorrhage but were given opposite advice,” the study’s authors wrote. “One user was told to lie down in a dark room, and the other user was given the correct recommendation to seek emergency care.”
I don’t think its fair to say that “ai has shown to make doctors worse at their jobs” without further details. In the source you provided it says that after a few months of using the AI to detect polyps, the doctors performed worse when they couldn’t use the AI than they did originally.
It’s not something we should handwave away and say its not a potential problem, but it is a different problem. I bet people that use calculators perform worse when you remove calculators, does that mean we should never use calculators? Or any tools for that matter?
If I have a better chance of getting an accurate cancer screening because a doctor is using a machine learning tool I’m going to take that option. Note that these screening tools are completely different from the technology most people refer to when they say AI
Calculators are programmed to respond deterministically to math questions. You don’t have to feed them a library of math questions and answers for them to function. You don’t have to worry about wrong answers poisoning that data.
On the contrary, LLMs are simply word predictors, and as such, you can poison them with bad data, such as accidental or intentional bias or errors. In other words, that study points to the first step in a vicious negative cycle that we don’t want to occur.
As I said in my comment, the technology they use for these cancer screening tools isnt an LLM, its a completely different technology. Specifically trained on scans to find cancer.
I don’t think it would have the same feedback loop of bad training data because you can easily verify the results. AI tool sees cancer in a scan? Verify with the next test. Pretty easy binary test that won’t be affected by poor doctor performance in reading the same scans.
I’m not a medical professional so I could be off on that chain of events but This technology isn’t an LLM. It suffers from the marketing hype right now where everyone is calling everything AI but its a different technology and has different pros and cons, and different potential failures.
I do agree that the whole AI doesnt have bias is BS. It has the same bias that its training data has.
You’re definitely right that image processing AI does not work in a linear manner like how text processing does, but the training and inferences are similarly fuzzy and prone to false positives and negatives. (An early AI model incorrectly identified dogs as wolves because they saw a white background and assumed that that was where wolves would be.) And unless the model starts and stays perfect, you need well-trained doctors to fix it, which apparently the model discourages.