Raw LLM Responses

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Comment
Of course a model is going to produce results consistent with its training data. It's hard for a human reviewer to purposely ignore the name, but trivial to make an automated tool to do so if objectivity is a goal. This seems like a win for including AI in a screening role. There's no reason to include the name if you don't want it to influence the score.
reddit AI Bias 1730490298.0 ♥ -4
Coding Result
DimensionValue
Responsibilitynone
Reasoningutilitarian
Policyindustry_self
Emotionapproval
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_luzegx1","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"rdc_luwpzp3","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}, {"id":"rdc_luydv9y","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"fear"}, {"id":"rdc_lux2f8h","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"rdc_lsaohos","responsibility":"user","reasoning":"consequentialist","policy":"liability","emotion":"fear"} ]