Raw LLM Responses

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Comment
I fully understand the concept of training bias and the importance of being aware of it and avoiding it. However, one should not assume that, since the human resume reviewers, and then the AI, tended to pick men at a greater rate than women, that this represents a bias problem. Whatever those characteristics (other than gender specifically) were, they may have, indeed, selected the ideal candidates in the vast majority of cases. Those humans, and AIs, may have picked the most successful candidate again and again. So, if you reject the result, just because women are selected at a lower a random population might suggest, you could be settling for a sub-optimal process instead. In fact, if you're not careful, you could continually tweak your process until you get to the point that you are semi-consciously introducing bias FOR women by rejecting any solution that doesn't select them at a proportionate rate.
youtube AI Bias 2021-09-17T00:0… ♥ 4
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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