Raw LLM Responses

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Another example of the ai “cheating” was when an algorithm to diagnose pneumonia based on chest xray images was created. It was biased based on what model of xray machine generated the image [When the algorithm noticed that a portable X-ray machine had been used, it boosted its score toward a finding of TB. Zech realized that portable X-ray machines used in hospital rooms were much more likely to find pneumonia compared with those used in doctors' offices. That's hardly surprising, considering that pneumonia is more common among hospitalized people than among people who are able to visit their doctor's office.](https://www.npr.org/sections/health-shots/2019/04/01/708085617/how-can-doctors-be-sure-a-self-taught-computer-is-making-the-right-diagnosis)
reddit AI Surveillance 1609268579.0 ♥ 2
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyliability
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_ghf2r6c","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"indifference"}, {"id":"rdc_ghdaqgt","responsibility":"developer","reasoning":"virtue","policy":"industry_self","emotion":"indifference"}, {"id":"rdc_ghe9q6i","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}, {"id":"rdc_ghdqqn6","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"}, {"id":"rdc_gher69k","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"} ]