Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
@hedonisticzen Congratulations, you just described what AI modelers often call society bias, where non-normalized data is treated as normalized data and fed into a model, thus skewing results. I find your use of words here perplexing as data skews are one of the more prevalent types of erroneous modeling bias things that can happen. Perhaps one of us, indeed, needs to go back to statistics class.
youtube AI Harm Incident 2019-12-14T09:2… ♥ 1
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytr_UgxKdeozd0vK2S9sD-J4AaABAg.92VSnTcamfz92VTCMTXngG","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytr_Ugzokp4W_CQZzomcVpF4AaABAg.92VRr19WgCT92W4ya_vgdk","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytr_Ugx_nv2HU3iRus2h73R4AaABAg.92VREGLc_BA92WVckP5e39","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"ytr_UgwtOlu-S2PGHKXMl814AaABAg.92VQbbGoGkc92W0jg2FGLH","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"ytr_UgwtOlu-S2PGHKXMl814AaABAg.92VQbbGoGkc92WYw47z7X4","responsibility":"developer","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytr_Ugx0hqMxmzfqtDGc7314AaABAg.92VOxbaOgsK92VU4C5Pa5-","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytr_Ugz2Yf2Vc_5LhSKNaHd4AaABAg.AVif1H5KK24AVimrjSTozR","responsibility":"none","reasoning":"deontological","policy":"liability","emotion":"outrage"}, {"id":"ytr_UgwDcXlX2fwv1T3k_5F4AaABAg.AHr2LtVg0-iAHuP9lWqtlE","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"}, {"id":"ytr_UgxiC1njDOi4IR877UF4AaABAg.ADPDGp3Akm7AQCUmsHwglq","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"}, {"id":"ytr_UgxiC1njDOi4IR877UF4AaABAg.ADPDGp3Akm7AQo_znKsFQc","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"} ]