Raw LLM Responses

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Comment
I'd argue that you just shouldn't use LLMs to rate resumes directly. But, they may still have a lot of uses for pieces of the puzzle like filtering, which can currently be really rudimentary. For example, if someone filters resumes for a specific term, they may miss out on tons of resumes that use a synonym or imply their competence using different words. LLMs are great for solving this problem. But people want to just replace the entire process with LLMs, and it pains me that this is probably going to happen a lot...
reddit AI Bias 1730493251.0 ♥ 10
Coding Result
DimensionValue
Responsibilityuser
Reasoningconsequentialist
Policyindustry_self
Emotionapproval
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_luwvnwc","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"rdc_luwz8l5","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}, {"id":"rdc_luzsin6","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"rdc_lv1gtup","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"resignation"}, {"id":"rdc_luxtq7d","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"} ]