Raw LLM Responses
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G
@roopax05Others pay cents per task. 0.08 per task that takes about 2½ minutes t…
ytr_Ugxm35GTH…
G
I couldn't give a flying f%&k about companies trying to use my internet activity…
ytc_Ugz2H2vgX…
G
@A1Authority So? If you're on the better weed then you tell me. How is it bad to…
ytr_UgyD9liWX…
G
says a lot that these ai artists assume thing skills are gained when youre born …
ytc_UgwIOMy8i…
G
That's right .....haha😂..,.now the world very busy to create robot for human..re…
ytc_UgzahgxLA…
G
I once almost ate a second piece of cake after consulting a magic 8 ball... but …
ytc_UgwdCWIRG…
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@andyjackson3414 There's enormous amounts of copyrighted material that the ai co…
ytr_UgwB3W7R9…
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Calculus 2 won't get you anywhere in mathematics. That's not how mathematics wor…
ytr_UgyWK8j2-…
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"}
]