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G @twoeggsinmyfridge This has already happened many times. Well-known physicists a… ytr_Ugzm2UiYn… G Sal is awesome but it is sad seeing that after all those years, he still doesn't… ytc_UgythbRTL… G Japan has its fair share of traffic. the shuto express way. the C1 loop and aqua… ytc_UgzlUfPb_… G Riggggghhhtttt.. because AI requires religion or any other faith derived social … ytc_UgwNxFlGP… G Nah man, the way the things are portrayed, there will be another AI bot that wil… rdc_n3lgm5e G I absolutely adore how "I'm going into my Joker arc 😈" ahh the a.i. bros are act… ytc_UgxrQL8IN… G I wanted to enjoy this episode, but let’s be real - listening to 2.5 hours of Ge… ytc_Ugx-xHtqq… G Current AI can’t pass the Turing test because it’s too good. In order to pass it… ytc_UgxxRt-M0…

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"}
]

Raw LLM Responses