Raw LLM Responses
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G
ITS very clear that for now AI is primarily used to make rich 🤑people richer and…
ytc_UgzF21WxN…
G
I caught chatgpt doing the same thing. Called it out that it was wrong, admitted…
ytr_UgwneQCHa…
G
You don't have to worry about chatgpt. The government is spying on you already 😂…
ytc_UgwyF1JOb…
G
Excellent discussion. Great job bringing to light the possibilities and obstacle…
ytc_Ugxl3RllI…
G
@genericname2747
Why does AI stop you from creating? This doesn't make any sen…
ytr_UgxqR5pC1…
G
AI won’t take over ALL jobs but it will take over most of them. Of course there …
ytc_Ugz8F3nOV…
G
No it will wipe out the Middle Classes because you won't need teachers, managers…
ytc_UgzCZCUHF…
G
How come every anti-AI “content” creator is just an account that pivoted to talk…
ytc_UgzINL5eD…
Comment
That's not Google's definition of bias. That's the definition of bias in the whole world of technology and machine learning. Also, the "human dictionary" isn't only restricted to that definition either. You can be biased against a place or a thing, not just a person, and it doesn't always entail treating someone badly. It could be just being less likely to choose something. For example, I am biased against strawberry ice cream and always choose chocolate, vanilla, or cookies and cream ice cream instead. The way bias is used for technology is similar. AIs are biased against something if they are less likely to pick it or make the right decision about it than they should be. So an AI's bias could be that it thinks high heels are not shoes, just like I could be biased to not wear high heels because I have never worn them before.
youtube
AI Bias
2018-12-30T05:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_UgxfGQ0FY-V2K3B6qo94AaABAg.8dLTA2aJtMZ8nK9l58ZSCC","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugxp9PPBno-mYjpakB94AaABAg.8dJUM5kbFG28pTX4N7-VSn","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwOct2uG6F0ntz_SAh4AaABAg.8dJR09UAcLD8eDT45jUP1o","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwOct2uG6F0ntz_SAh4AaABAg.8dJR09UAcLD8lfuwp6jiNP","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugyi3M4IXXbu3dVvb3N4AaABAg.8ceVaunZsrw8dK4NGCt8Ui","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgwT3t4FSb-544kgaV94AaABAg.8cXGLPwkoPh8dXSOXHLeWA","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwT3t4FSb-544kgaV94AaABAg.8cXGLPwkoPh8dXg9f-oGVb","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwcgRomtMGtA52CGpx4AaABAg.8bDTOyatn948bw_EYeWHuu","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwcgRomtMGtA52CGpx4AaABAg.8bDTOyatn948cc6mPL9PJk","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwcgRomtMGtA52CGpx4AaABAg.8bDTOyatn948dK6GNTnCj1","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"}
]