Raw LLM Responses
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It's still a robot, who knows how much fighting videos and skills that has been …
ytc_Ugzv7EK6H…
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@UCantAlwaysGetWhatUWant While the M-series CPUs are useful for AI processing, t…
ytr_UgxAVRmht…
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Hey peeps, please look up different types of biases, and try to see if they appl…
ytc_UgxDnlST5…
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As the video says, it responds that way cuz it's programmed to use biased source…
ytr_UgzT2JDmy…
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Turns away from gods gifts..what is created naturally is far better…a crappy mac…
ytc_UgwCV7aBu…
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When I got to know that chatgpt can make ghilbil i hated it nothing can replace …
ytc_UgwCe2jHw…
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The thing is, yes, some people do get inspiration from other artist that either …
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Thank you. So many people get wrapped up by the "stealing" aspect of it that the…
ytr_Ugx-Z96Em…
Comment
I am seeing a lot of comments rightly poking fun at this short for basically saying that racism is then statistically validated...but the short misses 1 big point: the reason for these stats *isnt* actual crime rates, it is instead metrics that are already biased leading to a biased result.
Take criminal history for example. Plenty of studies show that current criminal records are biased because the police are biased and a white man can get away with a warning where a black man would be arrested. Now feed the criminal records from that into an algorithm...and of course itll repeat what taught it.
The other metric of employment also has similar issues with old cultural biases baked into the current wealth distribution, causing minorities to appear worse when in reality it is a matter of income and not race. (So really, the data shows minorities are poorer, not that they are inherently more criminal. Then people choose to interpret the data in a manner that implicates race.)
youtube
2024-03-22T17:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | mixed |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgweAoKOu-faRwhv7L54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy1wbwz3FF8V0OJ2194AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgyYlcxO6U-AA2iZlxh4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugw8CoBUhx7WwfuLJyF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzCIj5ax1MyxX7bXop4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgxBztzLnCEsM7F0J7d4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyAJwxe6u3FUg3cSUt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyqztSC_8247_TAAk94AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwzUrT3LuUE9_iKiTZ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxGmyRhKCb35rtA6XB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]