Raw LLM Responses
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G
Huh, I would love to know the source painting/artist from which AI stole. It's f…
ytc_UgxEkbYEj…
G
But ai can be configured in such a way that all the work of human developers can…
ytc_UgwY2euVp…
G
Absolutely true but the inequality among people have been increasing as a result…
ytr_Ugz2p2hCD…
G
Ugh. This video is uninformed nonsense. Why the fuck would you make a toaster…
ytc_UgzqMT6pG…
G
That last one was actually Google Bard, and that makes a lot of sense 😂…
ytc_UgwkG1Bip…
G
What you just said sounds exactly like how I used chatgpt for my college assignm…
ytc_UgzbO-cJ5…
G
So there is no real problem with self-driving cars, after watching the video. Th…
ytc_UgxHRpqQm…
G
Disabled artist here: I HATE that these ai stans are using my very real experien…
ytc_UgwWf2NmK…
Comment
Imagine the following: A neural network which selects memorable pictures out of a large set of pictures. This model is trained by user choosen "memorable moments" in existing photos. The data shows a bias towards a ethnicity when people are in the pictures.
Would you synthetically alter that dataset to remove that bias or would you accept the fact that this bias is there due to human statistically significant preference?
IMHO you should keep the dataset as it is as it´s just a representation of the reality and will ultimately deliver better predictions for the users.
youtube
AI Bias
2018-12-23T16:3…
♥ 5
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | mixed |
| 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"}
]