Raw LLM Responses

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Comment
I know a PH.D who did research on AI and treatment actually from 2010. He was mainly in the programming and engineering aspect, but their research also heavily involved patient reactions to robots or AI. They had a massive sample size, and one of the biggest hurdles of nonhuman treatment was patient aversion. Overwhelming amount of people wanted human interaction when it came to treatment. I was also part of observing effects of AI and internal medicine at a very large research hospital that I cannot disclose. One of the benefits of AI was prelim. diagnosis which was pretty good and faster than people. One thing the AI had trouble with was complexities and needs of different humans. The AI could not “logically” assess why some people reacted differently to a treatment. Basically it had trouble reasoning why people are all different despite facts and data about human physiology. What was really disturbing here was it tended to focus on patient data that fit the medical facts, and rules out people who did not respond to medication as they “supposed to” as experimental error.”
youtube AI Harm Incident 2023-06-24T18:3… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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