Raw LLM Responses

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Another thing to keep in mind is that there is a difference between *bias* and *context* . Who were those people who were asked about the shoes? When was it? Where was it? Removing all traces of potential bias can lead to irrelevant search results etc. And the case with neural networks not recognizing faces with different looks is not really connected to bias in my opinion. No wonder that a network that was trained with millions of western looking images is bad at detecting an aborigine from the deepest outback. That's not a racist or biased computer - it just doesn't know better. Adding the image to the face database later on is important of course, but all in all it is still an improbable outcome to find an aborigine in comparison to western looking faces. That's exactly where context comes in - when a face search is performed in Australia, then the expected results should very much lean towards aborigines as well (Sorry aborigines - you're my scapegoat today^^), but when I - here in central Europe - want to recognize a face, it is not wrong or racist to assume European looking faces usually.
youtube AI Bias 2017-08-31T18:5… ♥ 13
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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