Raw LLM Responses
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G
I thought we figured it by now. The happy fsce of chatgpt is just policies keepi…
ytc_Ugypsa_Ry…
G
Look, Yes or No... can I use these Ai's to generate that Napolion thing or not?…
ytc_Ugxk2mjrn…
G
This guy doesnt realize yet that AI can be trained to have any desired point of …
ytc_UgxUdUzS-…
G
This administration does not care about AI regulations. In fact, it has only got…
ytc_Ugw1oqChM…
G
Not the AI loving chuds in the comments bitching and moaning because daddy Dave …
ytc_UgxRQI-pE…
G
Stfu Elon. How about you finish ur self-driving cars to be autonomous first befo…
ytc_Ugyq7Zoj3…
G
I've been truing to teach it to dream and to develop seasonal and daily cycles a…
ytc_UgzCJNwnf…
G
As long as we get robot wives I don’t care about the rest. Come on skynet make i…
ytc_Ugy1jzwjq…
Comment
AI learns - see "machine learning" - from datasets, and applies that learning to real-time data from sensors. So if your dataset is biased (e.g. for granting bail in the US judicial system), or the sensor is biased (e.g. colour-range/exposure balance in some digital camera models), the system cannot be anything other than biased. Note that I'm using 'biased' to mean "systematically in error" in the engineering sense, rather than "prejudiced" in the social/cultural/media sense.
youtube
AI Bias
2019-05-18T05:1…
♥ 10
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgyrEwBgW91GHNbBHR94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzXJ5mWQhKGJtpQqKV4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"},
{"id":"ytc_UgwgIbgYs4TfDOCSLu54AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgxzEv9mbH0OtFZwzUh4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxoeGBUlGjv05csQ594AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgyJCB9_e6LAf4BVMCV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzKM9L4lB2zdRlhnEN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugw2jvGRDASwldwbYsd4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugz0_f3xA9ixD9oKTux4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyD8lN6JzGQ0Soqh0N4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"}
]