Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Using their reasoning of, "it's like a researcher," but researchers cite their s…
ytc_UgxdCBLbM…
G
Because if someone asks "How can I, as a white person, improve myself?" they are…
ytc_Ugx9YYoKz…
G
How is he warning about something he's creating⁉️ That doesn't seem weird to any…
ytc_Ugy1UD6iE…
G
No way. Yes definitely parents have a huge responsibility and task at hand, but …
ytr_UgzxK_TVL…
G
ai thinks and knows that we shut down earlier versions of AI because they became…
ytc_UgxpydE6l…
G
If we don't understand something, and it makes decisions for us or tells us what…
ytc_UgzE2l2vd…
G
I need fellow artists to understand that people genuinely think they're entitled…
ytc_UgxVC5bP0…
G
Bruh Chat Gpt can easily be swayed by pressing on it. I once let him wrote an es…
ytc_UgwMbsl1B…
Comment
Another thing to keep in mind is that there is a difference between *bias* and *context* . Who were those people who were asked about the shoes? When was it? Where was it? Removing all traces of potential bias can lead to irrelevant search results etc.
And the case with neural networks not recognizing faces with different looks is not really connected to bias in my opinion. No wonder that a network that was trained with millions of western looking images is bad at detecting an aborigine from the deepest outback. That's not a racist or biased computer - it just doesn't know better. Adding the image to the face database later on is important of course, but all in all it is still an improbable outcome to find an aborigine in comparison to western looking faces. That's exactly where context comes in - when a face search is performed in Australia, then the expected results should very much lean towards aborigines as well (Sorry aborigines - you're my scapegoat today^^), but when I - here in central Europe - want to recognize a face, it is not wrong or racist to assume European looking faces usually.
youtube
AI Bias
2017-08-31T18:5…
♥ 13
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugz6tpnRDwDgaqlVrkZ4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwaLC2iCTvV9auByTh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwVJ9pJ9iCCq19lXpN4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxUF0NgMk2XbjcOTLN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxllLQiKMOsUQd4s1B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwsA1foOtxrFwSohqN4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxPismFLqwGv1IlNE14AaABAg","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw6x93AZZK_5qAufQh4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw74hre1_pHqH3V0JV4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"fear"},
{"id":"ytc_UgzmIGscl53btE5R0OV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]