Raw LLM Responses

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Comment
This is not biased data sets, it's that the data available reflect the reality that the data comes from. People of colour often wait longer to go to the doctor (because of cost) so the data that the AI is trained on is very good at predicting people of colour who are sicker before needing care. This error arises because we are trying to match AI models to reality instead of to the ideal states. The biggest problem is in some of these areas your ethnic background matters (like in the medical field) and so you need to improve the current medical system to then get the data that you use to train the model of AI. This is where countries like Canada are so great because not only do more people go to the doctor sooner they also go more often. You can take a patient's historical data and feed it in and then use it to predict the future illness (which you can already be aware of.)
youtube AI Bias 2022-12-23T02:4…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyindustry_self
Emotionresignation
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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