Raw LLM Responses
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G
Those silly movies y’all see don’t reflect real life, I have no concern over sup…
ytc_Ugyp4v5Px…
G
Ai will be the trojan horse , the question that remain unanswered is who are the…
ytc_UgxqMDWfk…
G
That’s not how AI works. It takes the understanding of the words we use to descr…
ytc_Ugwc7mHDX…
G
This is the stupidest bullshit I have ever heard in my life. "Let's all pool our…
ytc_UgzCvpKbG…
G
This dumb MS talking head be trashing anthropic if theyd refused this to Biden a…
ytc_UgyQxDU_X…
G
How is this positive in any way? I don’t care what your opinion is about AI it i…
ytc_Ugx495v3z…
G
Idea: we should mass produce a.i art and post it on every social media known to …
ytc_UgyvXMEjG…
G
Comparatively, it's not that great at coding. Claude and Gemini knock it out of …
rdc_mrt10o3
Comment
To try and modify statistics in order to generalize them to be false is in fact, biased. Commanding an A.I. system to collect available data in correlation to key words instructed by a user resulting in correct, specific and factual data is not biased. Statistics are averaged for practically based on questions that are variable such as "What does a shoe look like?". To use the reasoning that less images of women physicists appearing from image search results as a bias is false when the factual statistics are only being relayed by the A.I. system because they are in fact less common; they will be less likely to show up due to practically, not bias. To alter this information would make you biased. You're reasoning in multiple regards, including the shoe result example, are false and hypocritical.
youtube
AI Bias
2019-01-11T00:1…
♥ 18
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgypjSLh_9QkbGM_4pZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugy0Pb31HEV4qb0YI9N4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugzs8J0VncSTZMwDNVN4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwsgD241nI-aWtf9Gp4AaABAg","responsibility":"company","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugzsjsnb_UmMVe6n8Rd4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwbYjpwU0Lpu6NLrTB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwVhs0ZtK8GOuOcRDl4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugx6znuogH2jYuRPBWV4AaABAg","responsibility":"user","reasoning":"deontological","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgwwrGB0B9Wc_pj6IeV4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgwHqawJS_LRTPIV5wl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}
]