Raw LLM Responses
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G
CAN WE BAN WAYMO FROM AMERICA
CAN WE START A PROTEST 🪧 TO BAN THEM !…
ytc_UgwkzPNDY…
G
AI is gonna replace a lot of people. Lawyers, doctors, IT, Customer Service of a…
ytc_UgwMRxHSY…
G
Introduction & The Rise of AI 🤖🚀
[00:00] The Age of AI: The host kicks off the v…
ytc_Ugww4dYCu…
G
The counselors/therapist thing doesn't make much sense to me. If someone has men…
ytc_UgwCN8iz8…
G
This is another reason why Reparations are owned to ADOS... the health system ha…
ytc_UgzPwUorp…
G
What a dumb comment. It'll definitely hunt u down first! Afterall, AI would weed…
ytr_Ugw4g2y_i…
G
I am not a fan of AI art either but I think a lot of your counterpoints are unde…
ytc_Ugw20RFPt…
G
This guy is a clown go listen to mo gawdat he will give you fucking nightmares h…
ytc_UgyHsiTTk…
Comment
That would have to be one very complex dataset used over time fed every conviction and how long it took for the same person to commit a crime again to be useful. The problem is most of the dataset will be black males so it will be a basied dataset. The reason why is policing by humans arrests more black males than white and asians combined in the USA. With a biased dataset you will get a baised AI with incorrect results. So to do it correct you will have to chop up the dataset into demographics due to how the policing in the USA works. Having racism removed from the AI via having the races separated in the data. This will result in a more complex AI but also might be looked at as racist by ppl who don't get how AI training datasets work.
youtube
2022-07-30T17:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugx0rOf-YsZlQXSAAdt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxs47swESkB8PSnEel4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugywyf6HJwovz8if_sx4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy5uZ1D7jsHUe_haLB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx-JwPV4YlWtBD4EV94AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugxsx1wtoi6wJZmyyAB4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugxw49NGSolPbowh-714AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwNQz4Cle4NHtPO_154AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx3obXyY08LbIRDApJ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzrdeD_eXFN5jbReXJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"resignation"}
]