Raw LLM Responses
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G
What's more scary is that many people actually want AI. Even Elon Musk talked ab…
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Well DeviantArt was already DEAD, the majority of artist uses ArtStation, in the…
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A year later, and you can still get jobs as a software engineer or other IT jobs…
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G
Good example of a deepfake video would be the "horrific" jan6th footage they spr…
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Any benefits AI could provide in creative spaces are far outweighed by the negat…
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Why the fk would the rich want to start sharing the wealth later?? If they are s…
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A pencil neck view of what mundane blue collar work is, risible i its idiocy, th…
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With all the power of AI, humans are insanely complex! 10 years and we are now …
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Comment
The White Blood Cell Count in Blacks is pegged at between 4000 to 11000 per cubic cm. For Caucasians, it is pegged at between 2000 to 10000. These and many more medical data were fixed at a time when there were no finesse to the algorithms and the processes that researched them, yet those that wrote the original medical texts (the Caucasians) stuck with these errors and taught them for generations.
Many narratives were distorted to favour the fair skinned while the dark skinned (which originally means superiority) was tagged the inferior. Like how can you try to prove that a melanonized skin is inferior to a non-melanonized one? So why is SC Carcinomas predominant with non-melanocized?
Because of the discovered advancement and intelligent of the ancient Egyptians from archaeological findings, the narrative became distorted through texts and movies that Egyptians are fair skinned. Laughable isn't it? They even claim that Jesus (who the scriptures describe as dark skinned) is white in all their pictures and images of him.
So why should you be surprised that the same Caucasians that wrote the programming of the AI will transfer all these biases and lies to their AI offspring?
youtube
AI Bias
2022-12-17T13:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgweSMLxy0SruiYPCbB4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzPK7keRcGusxqtKaN4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwllGdQLziQMBA9Nkt4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyyXTVH8PKKJQoSWWt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwh3X1PGWrhSFR-9VJ4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzzLpl7VKY4CL5HfPF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxpYPEl-34E1d_JI394AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyIfLh2zBJ3mPWQn4l4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxLjsvPYJl36bZBqsB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw3kKe7bQS4rmFfPDN4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"resignation"}
]