Raw LLM Responses
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G
I think he's being a little too aggressive. The man was being normal with the AI…
ytc_UgzaisCQD…
G
Why do yall say “it’s the future” like it’s automatically a good thing? 1984 and…
ytr_Ugwazwdbq…
G
The ai isnt the problem. Its the artificial guard rails and thought policing rul…
rdc_ks2epck
G
It doesn't matter what we do anymore... there are private LLM that can be run of…
ytc_UgyueqfWl…
G
I think you're missing the point, if someone asked me is it worth it to study a …
ytc_Ugw64DYvD…
G
@ I’m not exactly sucking the tech industry’s dick about it. The AI programs tha…
ytr_UgyDk-BeX…
G
The only way this can be stopped is if people start caring. For example , what i…
ytc_UgytvFKM9…
G
I don't believe there was any guarantee that there would not be an Ebola outbrea…
rdc_cjoh10u
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"}
]