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G We appreciate your interest in the capabilities of artificial intelligence. Howe… ytr_UgwdEVv3Y… G Yes, more please, the more made-up ai crap the better. Dead Internet can't come … ytr_UgxVwdBjZ… G AI generated images DEHUMANIZE art, but I'm not truly mad at AI advancements its… ytc_Ugyjqgv1C… G The on truck that will never be automated is the "log truck." Drivers who know a… ytc_Ugzvftejk… G Even in such a hypothetical scenario, if that happens it will be temporary and G… ytc_UgxVX5uS8… G Cortana was always my favorite character in Halo. The second I saw her, I could… ytc_Ugy7-8CmF… G Please start your own business and utilize AI to grow and manage it. Just don't … ytc_Ugz_n3KlS… G If you do it that way human biases interfere and the 5,000 innocent people are m… rdc_esqiowe
Comment
Okay people need to learn statistics. Nothing is perfectly balanced or exactly in the middle. For instance more than half of people are right handed. This means that a logical system like a learning program (AI) will categorize people based on all sorts of arbitrary metrics. What you're calling racism is actually an expression of true statistics but without humanity or politeness. As with the left handed example above, every ethnic and physical categorization will be more more or less involved with any specific thing. One ethnicity must have more mailmen than any other ethnicity because nothing is perfectly equal. We also have absolute numbers versus a number corrected for percentage population. So two different ethnicities can both have the most green bean lovers: one by absolute numbers, and the other as a percentage of population. This remains true for negative facts too; there will always be a leader in deaths by sepsis because nothing is perfectly balanced or in the middle. The problem is that people expect a learning program to be sensitive about ethnic statistical facts. That says far more about us than it does about the computer. We often lie by omission because the general population will get upset if they knew things were never perfectly balanced or in the middle.
youtube AI Bias 2023-01-26T21:4…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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