Raw LLM Responses
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G
Anyone that can’t see that AI everything has flaws the size of the Grand Canyon …
rdc_n9m5pif
G
From what I read, it doesn’t allow other people to go into your video library hi…
ytc_UgzeMEq34…
G
Interesting take on the human mind. I am really intrigued to believe that us hum…
ytc_UgwYCE4nG…
G
Honestly termintator or matrix especially if alot of people abuse Ai and it gets…
ytr_UgzSA6Bwa…
G
We're cooked, All this AI doomsday talk is making me not want to have kids in th…
ytc_UgwwCPswD…
G
If AI does everything, no one will have jobs, no one will have money to buy what…
ytc_UgxsjIbM_…
G
The only realistic scenario of an “AI apocalypse” is not a machine uprising,
but…
ytc_UgwAT1Iul…
G
Je viens de voir ce reportage : ils sont complètement hors sol. Ils anticipent m…
ytc_Ugxq5buHe…
Comment
To explain what I believe is going on let's say an AI is being used to find a businesses next employee. The ignorant and "least biased" way to do this would be to feed the ai a list of all the past employees and their characteristics, let's say race, sex, religion, ethnicity, age. If most of your employees, are of a certain subset of people, the ai will only ever pick candidates from that subset. It has absolutely no correlation to some "undeniable" ai reasoning on why these minorities are lesser as some of the racists in the comments would have you to believe.
In order to correct this, you have to manually bias the data. I know it sounds weird. But, if you want your model to be agnostic to certain qualities of the data, this is how you do it.
youtube
AI Bias
2022-12-18T03:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwCpp492vGPeq2XFEl4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxDEIFNP4CwU1TPBbR4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_Ugy1CUuobv7WTo7sP4Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyEGPEb9U_WpMkWe5J4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugxs7s6f_hbXXadhPo54AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyfMoyf-zwlpX7QSuV4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgxJFNA4e9VQa7PUn754AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyxA8Qdco-ErTmsNvl4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgxLIOWfPJuPwdO0oxt4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxxCBv1hOlvGhptw-V4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}
]