Raw LLM Responses

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Exactly what i proposed the first day that stories started coming out last year Now i propose a more aggressive approach - it will sound like a joke but i couldn't be more serious: Students who can afford to need to start legitimately bringing forward "counter" lawsuits of plagiarism to court against every single professor who uses these checkers and has ever published a single work.( And ONLY the professors who use them.) It's simple - present your paper with the AI checker next to their book with the exact same AI checker and we all know both will have at least some on both. Money and career repercussions is the only thing these people understand. Students who can not afford court need to start flooding plagiarism complaints to the school against them citing the AI plagiarism. If a professor hasn't published a work but still uses the AI checkers- get any public piece of writing/speaking they've ever done and complain about the AI checker "proving it inauthentic and how serious students take their esteemed professors credibility and blablabla" same bullshit energy. This is not a prank and it is not cruel - this is how the world works - if they want to play with your future just bc it makes their job easier to LIE that they "KNOW" you cheated enough to penalize you just bc these checkers "KNOW" - then they shouldn't mind their futures being played with by the exact same measure - Harvard's Dean was just let go for plagiarism right ? They know they'll be out if they get a legitimate microscope on them. Will they actually get fired ? Probably not, and good - the important thing is if it gets done en mass it will light a fire under their asses to get off their lazy complaining "poor me, my jobs soooo hardddd" attitude, and ADAPT to changing technology THAT'S THEIR FUCKING JOB. Do you see teachers assigning math homework then failing people for GUESSING they used a calculator bc they did well ? No. They ADAPT to having in person supervised tests when they don
reddit AI Harm Incident 1704622008.0 ♥ 107
Coding Result
DimensionValue
Responsibilityuser
Reasoningcontractualist
Policyliability
Emotionoutrage
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_kgp4wiy","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}, {"id":"rdc_kgpzfai","responsibility":"distributed","reasoning":"deontological","policy":"none","emotion":"mixed"}, {"id":"rdc_kgp96fa","responsibility":"user","reasoning":"mixed","policy":"industry_self","emotion":"mixed"}, {"id":"rdc_kgppgh4","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"rdc_kgpp3x4","responsibility":"user","reasoning":"contractualist","policy":"liability","emotion":"outrage"} ]