Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
When facial recognition first came into play, the news media reported that facial recognition technology works on white people and does not work well on people of color, because the technology was not advanced enough to give accurate results. The news media showed how they were so frustrated trying to make facial recognition technology recognize dark skin. So, it begs the question???? Why would anyone try to use facial recognition technology on people of color in the first place. Based on their own past reach of a technology that according to the news media produced negative results when it come to the facial recognition of melanated people of color. Since, this information was so widely reported, please explain why on earth would such a very well-known (and it's all over the internet) faulty technology be unleashed to arrest an innocent black woman in the first place? See Clip From Internet Below: "Facial recognition algorithms are more likely to misidentify people of color than white people123. A federal study found that black people and Asian people were up to 100 times as likely to produce a false positive than white men, and women were more likely to be misidentified than men across the board1. Numerous studies report that facial recognition technology is “flawed and biased, with significantly higher error rates when used against people of colour”2. Native Americans had the highest false-positive rate of all ethnicities, according to the study, which found that systems varied widely in their accuracy."
youtube AI Harm Incident 2023-08-07T17:0…
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyregulate
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
[ {"id":"ytc_Ugx-ZZNHDZrlMxbBJLR4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"outrage"}, {"id":"ytc_UgwZTM8gtbkZuAOa-wt4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"liability","emotion":"indifference"}, {"id":"ytc_UgxEW6ov-0T__RuNK7Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_UgyUjK3CD_4vc6P0Wmt4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"}, {"id":"ytc_UgygmGxcV54hH7kc0td4AaABAg","responsibility":"user","reasoning":"virtue","policy":"unclear","emotion":"outrage"}, {"id":"ytc_UgxNBDqfzKx5ZnrRhCJ4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}, {"id":"ytc_UgzXVQIolXhUHJF6bzt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_Ugx1kAOyq8X60_H14Jl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"}, {"id":"ytc_UgxOvOdSifcWelcpgm54AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"mixed"}, {"id":"ytc_UgwEN8aH2GKhOptlRdh4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"} ]