Raw LLM Responses
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G
Face recognition has a higher chance of errors with people of colour? What? Coul…
ytc_Ugy7oBrrH…
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Humans have defects AI doesn’t it was nice to experience this world but by 2032 …
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G
17:12 one reason is humans aren’t gonna build it for you…..fuck Ai……and social m…
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G
> Within a single file, Gemini Pro 2.5 is able to handle scripts with hundred…
rdc_nbhvqv0
G
It is time to normalize artificial intelligence as something of our daily life i…
ytc_Ugw3Zv8zb…
G
Thank you... Montana Siksika
They want Sheep's Creek... they already have contra…
ytc_Ugz6nY6mQ…
G
In addition to randomly killing people and crashing into objects on the road, Te…
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whoever created ai probably dont know how much of a problem its gonna be in the …
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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"}
]