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G Don’t forget the 20 people that Tesla picked to try their robotaxi’s are Tesla i… ytc_UgzoM4zdv… G Now that it’s biting back at big corporations maybe something good against ai wi… ytc_UgxBLGmrz… G I dont know if it was a troll or people actually dont know how AI works, but... … ytc_Ugxd93EB1… G Though ai helps a lot, im from non it feild and im a vidro editor but i have use… ytc_Ugzp_l4Ge… G AI can make any kind of learning very easy, but... we have make sure how kids us… ytc_UgxSRBXpX… G Many people will reject the truth from humans they don't like and believe a lie … ytc_Ugy7-BZXq… G 2:25 excuse the actual fuck out of me, that’s a thing? Ai does that? What the ac… ytc_UgztRNnhQ… G @ibz_2 lmao. brain dead take. Ai has already replaced most low level art jobs, … ytr_UgwuDkg6b…
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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