We need a source for that "75% would choose this immediately". Our group, sure! Our generation, and people in our shoes, and with our level of knowledge about

We need a source for that "75% would choose this immediately". Our group, sure! Our generation, and people in our shoes, and with our level of knowledge about LLMs. But maybe not others. tl;dr Not yet Consider three things: 1. What people prefer when it comes to intimate/private issues that a physician diagnoses. 2. Tainted source datasets, resulting in the same "dismissive diagnosis" from the LLM 3. Lack of Trust held within a new system 1. For starters, there are certainly a large subset of people that simply "don't trust machines". Alternatively, they "don't trust major corporations". They would likely pick local doctors over machines, due to a perceived lack of connection/humanity in the LLM. Combine that with the recent increased use of LLM / AI models used to make scam calls, and you have a potentially deep seated (and at times illogical) distrust of any LLM diagnosis. Some would say the machine doesn't and cannot understand their unique situation. And refuses to give them what they need. So they would go to a doctor. Some would have difficulty being honest with a machine. Would you trust a human or a machine to keep your medical records safe? (I honestly don't know which I would trust. Both at the same time preferably?) 2. Others would say the dataset is made up of biased diagnoses specifically tailored towards the majority, and fail to diagnose the minority correctly. You are assuming that the LLM cannot be tainted by biased or dismissive diagnosis made by doctors against the very same women and minorities. The datasets have to come from somewhere, and some of that data will without a doubt be biased. 3. There is a lack of trust. Automated systems are making great strides yes. But absolutely no one trusts them fully. Whether it be planes, cars, logistics, data, etc Absolutely no one trusts them fully. Especially with GPT like systems that simply cannot say "No" and start making stuff up. Remember the fiasco with Bard gaslighting someone about the current year? Imagine if that happens during an LLM diagnosis. Come full circle, those same people who don't trust a human physician due to discrimination? "Why the hell would I trust an AI machine made specifically to make money!". What is there that actually makes a corporate AI more trust worthy than the local physician? What is there that actually prevents the LLM from discriminating? This is really my main concern: Nothing stops the LLM from discriminating. All it takes, is a dataset with built in biases. It isn't nearly as clear cut as you make it out to be.