Raw LLM Responses
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G
I just can't believe this is the same AI that tells me to put cards in a clash r…
ytc_Ugxk0bRcj…
G
Remember: 100% match does not mean the faces are identical, it means the AI is 1…
ytc_UgxV3_UsQ…
G
just stop using these chat bots altogether. they cant even do math & don't under…
ytc_Ugxvw32cG…
G
My small brain is struggling to rationalise this. The doomsday scenario- compan…
ytc_Ugw2Tu3np…
G
AI Will never master, the “random funny” random words, sounds, symbols or phrase…
ytc_UgwiQZNZA…
G
I still don’t see how AI is stealing from artists, and I would appreciate it if …
ytc_UgwJWgqDi…
G
Group 3: jobs lost due to financial problems caused by excessive AI spending. Go…
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I typed the same question asking ChatGPT and got Muhammad too then I said: Hahah…
ytc_UgyMOOF12…
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"}
]