Raw LLM Responses

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Comment
Not enough info for my liking. Article is too short. What as the source of the bias? or How did it conclude men were preferable? For it to come to the conclusion that men were preferable requires gender to have been categorized in the first place. People tend not to put their gender on CVs so how was it telling the difference? If by names then it would have ended up discriminating race as well. If it was sorting them out due to unfamiliarity then its sorting universities so it built up a preference for some universities based on rankings or frequency. This would end up discriminating foreign educated people which seems absurd for an international company. Are there any more in depth articles on this?
reddit Cross-Cultural 1539181781.0 ♥ 27
Coding Result
DimensionValue
Responsibilityunclear
Reasoningdeontological
Policyunclear
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_e7ij0cd","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"}, {"id":"rdc_e7ivqgp","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"}, {"id":"rdc_e7jrpn7","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"}, {"id":"rdc_e7jp9so","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_emn5ewy","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"} ]