Raw LLM Responses

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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
DimensionValue
Responsibilitygovernment
Reasoningdeontological
Policyregulate
Emotionoutrage
Coded at2026-04-26T23:09:12.988011
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"} ]