Raw LLM Responses

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G Doing my masters in mechanical engineering besides working in research, have a B… ytc_UgwLAGWBi… G I see in-front of me people who will demonstrate and cause havoc to let the gove… ytr_UgzdF5vMN… G But AI benefits the smaller teams with less money the most. It can save them a l… ytr_UgzH1eTyR… G Nobody here possesses an IQ enough to understand these next sentences.. A paper… ytc_UgxOq2NvQ… G I seen somewhere, heard sonewhere. Some guy was talking about ai and to teach it… ytc_UgyaPSSnT… G This bill essentially sacrifices safety standards in order to get cars on the ro… rdc_dmoos0y G AI reflects human weaknesses. It's trained on human written text. Not on day to … ytc_UgxybiZez… G The irony is how these AI companies are mad at China for stealing their work and… ytc_Ugzww3UlI…
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"} ]