Raw LLM Responses

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Agreed. This kind of stunt can be catastrophic not just to one's employment, but to the whole company PTO system for everyone else. I'm a manager and we are on a very lenient trust system, where the only information we need is what type of PTO they need and for how long ("Good morning. I will need to use a health day today for rest and recovery, thanks. -Bob Bobson") It works because there are so few points to manipulate or exploit us while approving your time off request. But if people send in that request, then arbitrarily overshare with obviously fake screenshots (screenshots we didn't even need), not only will your PTO request be rejected, but it could result in department changes to ensure validity of health PTO requests. I don't want that. We're all adults here, and can just take health days when we deem them worth using. But if dishonest employees result in making the process harder and needing more verification like doctors notes, test results, or obituary clippings, that just opens up more opportunities for employees to manipulate the system with AI generated fakery I can very easily spot. And I don't want to spot that, because unfortunately I can't be "cool" and let it slide, I have to begrudgingly push it up the line that I think people are faking COVID infections to get more time off work. And when that happens, that means MORE verification points, and MORE difficulty getting approved, and MORE incentive to manipulate the system with fake screenshots, and MORE department changes to add MORE verification points, making it MORE difficult getting it approved, so MORE people try fake results, and so on and so on...I don't want that. Because then people will find PTO requests so difficult to get approved, they don't bother. They rather show up to work sick to infect the rest of us, because they didn't complete some 50-question online survey to regale me with the color and consistency of all the horrors falling out of their body. Just be honest y'all.
reddit AI Harm Incident 1756421124.0 ♥ 15
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_nb7ur9w","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_nb7lfh1","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"rdc_nb7j1v5","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"rdc_nb8o2xb","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"rdc_nb7jvqv","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"} ]