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G The Marxist democrats, and their demonic WEF patrons, absolutely hate healthy, p… ytc_Ugz0b_iMD… G Unless it is ultimately managed by a unhackable AI, this is in no way a "way of … ytc_UgylggyXy… G Is that much scared !!! But when I think that until now Quantum AI that I named … ytc_Ugz23-sKN… G let me rephrase it for you. They are pissed cuz it steals their artwork without … ytr_UgwYYcsZM… G I think this is great! AI is an amazing starting starting point but shouldn’t be… ytc_Ugwvgviz1… G AI is doing nothing. It is the people who own the AI that are going yo replace o… ytc_UgxzVPfG5… G It is because how neutral network work. Learning requires billion dollar surveys… ytr_UgwjLd_uB… G PDs laying off their detectives. All crime to be solved by AI and Google positio… rdc_oa87475
Comment
As we shift toward a “personalized medicine” the use of AI in healthcare is inevitable. I really appreciate Dr. Navis’s comments on data bias and as a medical student I wanted to know more. I am already aware of the biases found in current medicine but had not even considered the idea that our basic medical algorithms were bias. There is a great article written by Katherine J. Igoe explaining the biases seen in medical algorithms. In this article she explains that currently our genetic and genomic data is represented by 80% of Caucasians, and thus makes our understanding of genetics geared towards Caucasians. Obviously, we cannot just ignore race when conducting genetic information and in her article, she suggests the best solution for combating the inevitable use of AI is having a diverse group of professionals and not strictly a team of data scientist. This includes have a diverse professional team consisting of physicians, data scientist, government, philosophers, and everyday civilians.
youtube AI Harm Incident 2023-04-19T17:4… ♥ 1
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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