Raw LLM Responses

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I’m speaking solely out of fact, not opinion here. These said data sets are biased, but statistically accurate. A normal person, morally trained, would treat all races with equal judgement in terms of deciding whether or not they would commit a crime. A robot, however, uses statistical trends to do so. It’s not racist, per se, it’s more of taking all the statistical values (occupation, living location, relationships, etc.) into account, looking at the most common relations between the criminals, and selecting people who have a lot of these tags. This is done in reverse if you’re playing games. You want to choose a player with the best stats because you know they’ll perform better. It’s unfortunate that these cases happened, but I’m sure these are only a couple cases in a sea of hundreds of normal ones.
youtube AI Bias 2023-01-07T08:1… ♥ 51
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytr_Ugwb8XldhEM05TUgOzp4AaABAg.9kHbrjdDS2d9k_MBVnIGK5","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytr_UgwLsv1I35XtUlmMJSd4AaABAg.9kGDTpd3S9S9kH33mv4sFQ","responsibility":"distributed","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytr_UgwLsv1I35XtUlmMJSd4AaABAg.9kGDTpd3S9S9kIHoRp8-ul","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytr_UgwLsv1I35XtUlmMJSd4AaABAg.9kGDTpd3S9S9kINRG6Y0kl","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"}, {"id":"ytr_UgzgytquxwcoNLqA-8N4AaABAg.9kFxUgznOFZ9kGImTeCS2h","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytr_UgwoH7y_8ZWXsL_9BAR4AaABAg.9kEnyKQxReC9kF6xZogN-I","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytr_UgyCRVdYI4N4BKnA4r94AaABAg.9kCaBaQBBDg9kaJyzpYpXr","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"mixed"}, {"id":"ytr_UgyCRVdYI4N4BKnA4r94AaABAg.9kCaBaQBBDg9keEznbvERw","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"}, {"id":"ytr_UgytTeUutp8xDE05MJl4AaABAg.9kCZh9sKwaF9kH_qx4XPCH","responsibility":"ai_itself","reasoning":"contractualist","policy":"unclear","emotion":"mixed"}, {"id":"ytr_UgyaEf1pQyyiFQhWAP54AaABAg.9kBSFJCLCGV9kC9_NQaqBo","responsibility":"user","reasoning":"deontological","policy":"ban","emotion":"outrage"} ]