Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Like this: - Automated Anti-Blackness: Facial Recognition in Brooklyn, New York https://pacscenter.stanford.edu/wp-content/uploads/2020/12/mutalenkonde.pdf - Making the Body Electric: The Politics of Body-Worn Cameras and Facial Recognition in the United States https://ojs.library.queensu.ca/index.php/surveillance-and-society/article/view/13285 - Face Mis-ID: An Interactive Pedagogical Tool DemonstratingDisparate Accuracy Rates in Facial Recognition https://people.csail.mit.edu/pkrafft/papers/Face_Mis_ID_AIES_2021___Use_this_version.pdf - Fitting the description: historical and sociotechnical elements of facial recognition and anti-black surveillance https://www.tandfonline.com/doi/full/10.1080 /23299460.2020.1831365 - Fly in the Face of Bias: Algorithmic Bias in Law Enforcement's Facial Recognition Technology and the Need for an Adaptive Facial Recognition Technology and the Need for an Adaptive Legal Framework Legal Framework https://scholarship.law.umn.edu/cgi/viewcontent.cgi?article=1656&context=lawineq Let me know if you need any additional academic sources on this!
reddit AI Harm Incident 1626228423.0 ♥ 21
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_h53xcbr","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"unclear"}, {"id":"rdc_h55501m","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}, {"id":"rdc_h54n2m7","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"fear"}, {"id":"rdc_h5501v5","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}, {"id":"rdc_h55ci2j","responsibility":"company","reasoning":"mixed","policy":"industry_self","emotion":"mixed"} ]