Raw LLM Responses
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G
Poke fun at Chat GPT but how many actual "lawyers" do far less or far worse prep…
ytc_Ugzbsdgcc…
G
To the Detroit Police Department: If you’re going to arrest someone, make sure t…
ytc_UgzK-M0km…
G
There is one major flaw in this theory: If there no employement, there is no mon…
ytc_UgzEnzcMn…
G
Logically speaking you're wrong. There is two ways of defining new concepts: eit…
rdc_ohqlim9
G
You have to first establish who it is you are talking to, through AI. either the…
ytc_UgxAM80qq…
G
The argument for using AI as reference is so fucking absurd. Like the whole poin…
ytc_UgwDMjKnK…
G
I get that the death of Kitkat was unfortunate. To demand justice for a cat that…
ytc_UgzDWp1vY…
G
@IchMagNudeln123 politicians will unite with ai companies directors and protect…
ytr_Ugx64yTma…
Comment
To play devils advocate in a situation where I'm detecting your cultural ideological bias (it's okay, I'm not hating; it's just what's going on in your wider culture and you're acting in accordance with that): What if in some of these situations the AI is detecting actual patterns, not biased data that's being fed into it? This is important, because what are we going to be doing to counter the imbalances we're seeing here? We can't just feed the AI intentionally counter-biased data to counter the conclusions an AI is coming to.
To illustrate the point; some of the largest immigrant demographics in my country are from poorer countries, meaning those people naturally end up in poorer communities that already have higher rates of crime. In many of those communities, these immigrant populations become majorities, and due to the higher crime rates in those communities, those immigrant demographics (and typically the following generations) are criminally overrepresented. Nothing racist has to happen to cause that. An AI can be given zero biased information, look at that data, and conclude that people of these immigrant backgrounds are just statistically more likely to commit crime; and it'd be technically right.
The issues arise with what is being done with the AI's conclusions.
youtube
AI Bias
2023-02-08T20:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgzZsHJZth2fhhtOorJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwI6sDK8m2T5XtUZvB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyWjAQ7j5ciHcvmBWV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyaCWBfZVbd6ChbJ8V4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyuRWDNcymapFKxLUl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_UgybWuwKeaFJKrkgbkZ4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzbjE23ckLUV9-TnFt4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzmHm_w-aanik6pojN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugy9Oq7NyfRrQsZpQxd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwHXmeQjIXKk5qn3B14AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"}
]