Raw LLM Responses
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G
Make the punishment DEATH for people who get caught hacking AI. That will make …
ytc_UgyLd7Fyo…
G
Nice video bro! Keep up the good work. Personally, I'd tease AI by giving excess…
ytc_UgzX_kbre…
G
Typical the woman robot belittling the man robot 😂 just like in todays feminist …
ytc_Ugzrb5IJh…
G
Yeah but using AI correctly means uninstalling it so I’m not sure how that’s rel…
ytr_UgwE3rd9A…
G
UBI is a pipe dream, it won't happen for at least another century. Companies are…
ytr_UgzI5hCwg…
G
The truth is there is a 100% chance that there's going to be an evil AI. Why do …
ytc_UgySVjLgr…
G
We need AI to verify AI! I think the Gartner hype cycle needs to be understood a…
ytc_UgwEBds7A…
G
The thing these people up there have not realized yet is that Ai is not just an …
ytc_UgxOiCZCD…
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
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | resignation |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_Ugy4KxxlERLxFGZMUWh4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzUcODYWYp-tY58Io54AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzFUTkKwQHGBKpm6sF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"mixed"},
{"id":"ytc_Ugx9DeRcqUWLuH0dYJR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzvbpkVuvhybFwv6W14AaABAg","responsibility":"developer","reasoning":"mixed","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgztGp6E7FEMmR0KZIh4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"resignation"},
{"id":"ytc_Ugwl8tB54vBUAuDJu6x4AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzceN63p7Wjwiatmyl4AaABAg","responsibility":"user","reasoning":"deontological","policy":"ban","emotion":"fear"},
{"id":"ytc_UgzA57hfAzVHCz2j3RB4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgxqphEyrIMxHIdGY1V4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"}
]