Raw LLM Responses
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I am currently in a trainee program to learn machine learning...my teachers sugg…
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The point is if AI is very good we need also a autonomous leaders AI senators wo…
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40:35 Do not give the Russians any new ideas! "Celptographic algorithm" is too …
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Networks need physical kill switches built in - charges hard wired to physical s…
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They're usually out of touch and aren't aware. Sure, AI won't fully replace all …
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Even though the question being asked is ridiculous, and the idea hinted at is mo…
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How does AI know the truth? Where is the truth. In fact is there such a thing as…
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Never mind a pen and paper being cheaper than AI, you can literally just grab an…
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Comment
@anarchic_ramblings this isn't my area of expertise and I'm sure there's more advanced metrics but a basic way would be to see if the accuracy massively changes based on some aspect of the input
Eg if we're making facial recognition software and noticed that the model performed noticeably worse on people with glasses we would say it's biased against people with glasses, or if it did better on photos of people on a plain background we would say it's biased towards those people
The problem comes with determining whether bias is expected, there will always be things that help the model (having plain backgrounds as above for example) but things like skin colour, gender, etc, we would hope that the model's performance doesn't depend on these attributes, and so it's important to have a well balanced dataset (or use other techniques to reduce bias)
youtube
AI Bias
2023-04-08T07:0…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_Ugx9pr52cMYqpnfGpox4AaABAg.AEhdoqlxF_6AEhiThoRmNF","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwAGi-DZxb-RjfeKgl4AaABAg.AEyP2yI3nm-AEyYFptEqvb","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgxuYQGJh9HsgeU-qfV4AaABAg.AEiRHPvqTPKAEitT9QuZUa","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxuYQGJh9HsgeU-qfV4AaABAg.AEiRHPvqTPKAEmwoapAB1V","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyrOvP2b1QZiGNycDx4AaABAg.AEhe6l3xMF8AEhxAuybHqH","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwFuSp2Tjf9tnyhyc54AaABAg.9oDaT8LAy9V9oEXvd5JD1T","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugxl1z0nSy0EPAR3reF4AaABAg.8e0dzWlhAA58e0pwlAvLol","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgyFaGcDlUAxxa36KRd4AaABAg.AUkgUViu3jFAVGjbyKVjAN","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_UgzqnC899m3Qzn6ke-B4AaABAg.AOjmdk2mBxVAOpUYrpfj7c","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgzzQa1xngDoc5kaIEN4AaABAg.ABJ3h3oEiFmAB_3o0zxWsR","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]